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