Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- UiT The Arctic University of Norway
- University of Oslo
- Harvard University
- University of Cincinnati
- Zintellect
- University of South-Eastern Norway
- National University of Singapore
- University of British Columbia
- ;
- Humboldt-Stiftung Foundation
- Carnegie Mellon University
- Macquarie University
- Colorado State University
- James Cook University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- UNIVERSITY OF MELBOURNE
- University of Michigan
- Auburn University
- Australian National University
- DAAD
- KINGS COLLEGE LONDON
- King's College London
- Queen's University Belfast
- Stanford University
- University of Massachusetts
- University of New South Wales
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Cardiff University
- Dalhousie University
- Durham University
- KEK
- Lawrence Berkeley National Laboratory
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Massachusetts Institute of Technology
- NTNU - Norwegian University of Science and Technology
- Nanyang Technological University
- QUEENS UNIVERSITY BELFAST
- RMIT UNIVERSITY
- Simons Foundation
- Tampere University
- The University of Alabama
- University of Agder
- University of Bergen
- University of Birmingham
- University of California
- University of Cambridge
- University of Colorado
- University of Idaho
- University of Inland Norway
- University of Kansas Medical Center
- University of Melbourne
- University of Nottingham
- University of Stavanger
- University of Waterloo
- Zukunftskolleg, University of Konstanz
- 46 more »
- « less
-
Field
-
technologies (mass spectrometry, next-gen sequencing, high-performance computing). Work on high-impact research addressing one of the urgent challenges in global health—antimicrobial resistance. Collaborate with
-
Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 18 hours ago
travel grants for presenting at academic conferences, access to high-performance computing resources, and participation in programmatic activities and networking opportunities within MIT’s vibrant AI
-
on next-generation high performance computing and data systems hosted by the National Energy Research Scientific Computing Center at Berkeley Lab. Since its founding in 2002, Berkeley Lab's Luis W. Alvarez
-
and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
-
the Energy Sciences Network or run on next-generation high performance computing and data systems hosted by the National Energy Research Scientific Computing Center at Berkeley Lab. Since its founding in 2002
-
studies Computational biology to integrate results and generate list of perturbed pathways Contribute to research grant proposal applications, including literature review and preliminary data Contribute
-
of infectious diseases. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing
-
in molecular biology Excellent programming skills Experience in computational analysis of molecular data Experience with high performance computing Aptitude for team work, problem solving and
-
of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
-
Your tasks will include carrying out high-quality research on the above topics as well as participating in the supervision of doctoral researchers working within the Quantum Doctoral Pilot Programme. In