The Government of Flanders Master Mind Scholarships Fellowships for Excellent Students

Master Mind Scholarships
Fellowships for Excellent Students

 academic year 2016 - 2017

The Government of Flanders has launched a new scholarship programme in 2015, Master Mind Scholarships. For the academic year 2016-2017, it awards up to 45 scholarships to outstanding Master students from all countries. The programme aims to promote the internationalization of the Flemish Higher Education, as stated in the Action Plan for Student Mobility, Brains on the Move (September 2013).

Students cannot apply directly. Applications need to be submitted by the Flemish Host Institution, in consultation with the Home Institution of the applicant.

The Home Institution of the applicant and the Flemish Host Institution should have signed a cooperation agreement.

Application Deadline is 31 March 2016

 Application form_Master Mind Scholarships_2016-2017.docx


 Guidelines_Master Mind Scholarships_2016-2017.docx

Further Information

Post-Doctoral Researcher Positions Division of Health Informatics Department of Healthcare Policy & Research Weill Cornell Medicine, Cornell University, New York

Post-Doctoral Researcher Positions

Division of Health Informatics

Department of Healthcare Policy & Research

Weill Cornell Medicine, Cornell University

New York City, New York

http://hpr.weill.cornell.edu/about_us/job_openings.html

The Division of Health Informatics in the Department of Healthcare Policy & Research at Weill Cornell Medical College is inviting applications for 3-4 post-doctoral researcher positions. Specific areas of research and development interests for the positions include, but not limited to:

1. Phenotyping from electronic health records
2. Data mining from electronic health records
3. Biomedical ontologies and terminology standards

The successful applicant will have a Ph.D., M.D./Ph.D., or equivalent in biomedical informatics, computer science, health information technology, or a related field. Applicant will have a record of significant research accomplishments as evidenced by work experience and publications in top-tier journals and conferences in informatics and computer sciences. Strong working experience with electronic health records, and programming with Java, Python, R, and/or SAS is required. Additionally, working knowledge of big data technologies and tools (e.g., Apache Hadoop, Apache Spark) is highly desirable. Strong curriculum and experience with electronic health records, biomedical ontologies, text mining, and biomedical data mining/machine learning will be an added advantage. The successful candidate will also have a track record of interdisciplinary work, and excellent oral and written communication skills.

Weill Cornell Medicine and the Department of Healthcare Policy & Research are committed to the principles of Equal Employment Opportunity and Affirmative Action. We ensure all employment activities are conducted in a fair and equal fashion, without regard to race, creed, religion, color, national origin, sex, age, sexual orientation, predisposing genetic characteristics, marital status, status as a domestic violence victim, individual with a disability, citizenship, protected veteran, or other characteristic as protected by law.

Interested applicants should submit a letter of interest highlighting their research interests and career goals in health informatics, and a curriculum vita to:

Jyotishman Pathak, Ph.D.
Chief, Division of Health Informatics
Department of Healthcare Policy & Research
Weill Cornell Medicine, Cornell University
425 East 61st Street, Suite 300
New York, NY 10065
pathak@med.cornell.edu

Open PhD position on Data Stream Mining Leibniz University of Hanover / L3S Research Center, Germany

Open PhD position on Data Stream Mining

Leibniz University of Hanover / L3S Research Center, Germany.

We are offering one fully-funded PhD position at the Leibniz University of Hanover / L3S Research Center, starting in April or May 2016.

Your research will focus on data stream mining and in particular, data mining model extraction and adaptation over evolving data streams, change detection, evolution monitoring and reasoning.

Applicants should have a strong background in computer science, including data structures, algorithms, and data mining / machine learning, excellent programming skills, team work capacity, and ability to meet deadlines.

The salary amounts to German TV-L E13, which is roughly 40.000 to 50.000 Euro gross income per year.

Please send your application including the usual documents and a list of references, until March 15, to Eirini Ntoutsi, ntoutsi@kbs.uni-hannover.de.

About L3S

L3S is a research center for basic and applied research in the field of Web Science. It is a research-driven institution that stands out through its significant innovations, and attracts top-class graduate and PhD students and staff members from around the world. For young scientists the L3S is encouraging, innovative, international, supportive and independent. More on: https://www.L3S.de/

About Hanover

Hanover is not only the most central city in Germany, but also one of the greenest cities in Europe. It offers a wide range of cultural facilities, sporting activities, colorful festivals, interesting shopping and, of course, numerous green spaces for recreation.

More on: http://www.hannover.de/en

Further Information

Postdoctoral Position on Infant Brain Segmentation, Registration and Atlas Construction, IDEA Lab USA

Several postdoctoral positions are available in IDEA lab (http://bric.unc.edu/ideagroup), UNC-Chapel Hill, NC.

Segmentation: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image feature learning and segmentation. Experience on medical image segmentation using deformable surface, level sets, and graph cut is highly desirable. People with machine learning background on image features and shape statistics are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C and C++, scripting, and Matlab) is desirable. The research topic will be the development and validation of segmentation methods for infant brain segmentation and surface reconstruction.

Registration: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on feature learning and correspondence detection. Experience on medical image registration is highly desirable. People with experience on pairwise, group-wise and/or 4D registration are particularly encouraged to apply. Knowledge on brain development and also strong background on programming (good command of LINUX, C and C++, scripting, and Matlab) are desirable. The research topic will be the development and validation of 3D, 4D, and group-wise image registration methods for early brain development study.

Atlas Construction: Candidates with experience on patch-based sparse representation are encouraged to apply. The research topic will be the development of atlas construction methods for infant brain images.

The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's previous work on medical image analysis. If interested, please email resume to Dr. Dinggang Shen (dgshen@med.unc.edu).

PhD Positions in UNC-Chapel Hill, IDEA lab of UNC-Chapel Hill

One PhD position is available, for each of the following research directions, in the IDEA lab of UNC-Chapel Hill, NC (http://bric.unc.edu/ideagroup).

Brain Image Segmentation and Surface Labeling: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image processing and pattern recognition. Experience on medical image segmentation and analysis is highly desirable. People with machine learning background are particularly encouraged to apply. Knowledge on neuroscience and programming background (good command of LINUX, C and C++, scripting, and Matlab) are desirable. The research topic will be the development and validation of methods for atlas-based tissue segmentation (of neonatal brain images) and cortical surface labeling of brain images.

Deformable Segmentation: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image feature extraction, shape representation, and shape statistics. Experience on medical image segmentation using deformable surface, level sets, and graph cut is highly desirable. People with machine learning background on image features and shape statistics are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C and C++, scripting, and Matlab) are desirable. The research topic will be the development and validation of statistical deformable segmentation methods for lung, liver, prostate, and brain.

Neuroimage classification: The successful candidate should have a strong background on Electronic Engineering, Biomedical Engineering, Statistics, or Computer Science, preferably with emphasis on machine learning, pattern classification, multivariate image analysis, or computer vision. Experience on neuroimage analysis is highly desirable. People with machine learning background are particularly encouraged to apply.

The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's previous work on medical image analysis. If interested, please email resume to Dr. Dinggang Shen (dgshen@med.unc.edu).

Postdoctoral Position on Medical Image Indexing, IDEA Lab, USA

One postdoctoral position is available in IDEA lab (http://bric.unc.edu/ideagroup), UNC-Chapel Hill, NC.

Image Indexing: The successful candidate should have a strong background on Biomedical Engineering, Electronic Engineering, Computer Science, or relatedly majors, preferably with emphasis on image processing and analysis. Experience on image indexing and retrieval is highly desirable. People with machine learning background on image features and image similarity measurement are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C/C++, Python, Matlab, etc.) is desirable. The research topic will be the development and validation of image indexing methods for medical applications.


The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group’s previous work on medical image analysis. If interested, please email resume to Dr. Dinggang Shen (dgshen@med.unc.edu).

Postdoctoral Position on Imaging Genomics, IDEA lab

One postdoctoral position is available in IDEA lab (https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.

Imaging Genomics: The successful candidate should have a strong background on Biomedical Engineering, Electronic Engineering, Computer Science, or relatedly majors, preferably with emphasis on neuroimaging analysis and genomics. Experience on brain disease diagnosis is highly desirable. People with machine learning background on feature representation and regression are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C/C++, Python, Matlab, etc.) is desirable. The research topic will be the development and validation of innovative methods for imaging genomics.

The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group’s previous work on medical image analysis. If interested, please email resume to Dr. Dinggang Shen (dgshen@med.unc.edu). 

Deadline : 31-Dec-2016