Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- DAAD
- Nature Careers
- Technical University of Denmark
- Susquehanna International Group
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- Delft University of Technology (TU Delft)
- Duke University
- Chalmers University of Technology
- Delft University of Technology (TU Delft); Delft
- KINGS COLLEGE LONDON
- Leiden University
- Norwegian University of Life Sciences (NMBU)
- Technical University of Munich
- University of Bergen
- University of Luxembourg
- University of Newcastle
- Université Libre de Bruxelles (ULB)
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- ; University of Sheffield
- Aristotle University of Thessaloniki
- BARCELONA SUPERCOMPUTING CENTER
- Cranfield University
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- Ghent University
- International PhD Programme (IPP) Mainz
- Leiden University; Leiden
- Linköping University
- Ludwig-Maximilians-Universität München •
- Maastricht University (UM)
- McGill University
- National Research Council Canada
- SciLifeLab
- THE UNIVERSITY OF HONG KONG
- Tallinn University of Technology
- Technical University Of Denmark
- The University of Iowa
- University of Alabama at Birmingham
- University of Antwerp
- University of California, Los Angeles
- University of Southern Denmark
- University of Southern Queensland
- Uppsala universitet
- Wageningen University and Research Center
- 35 more »
- « less
-
Field
-
to the body of knowledge by enhancing the safety, relia- bility, and efficiency of automated vehicles by developing a collaborative multimodal perception system. This system leverages data from multiple sources
-
: Develop, lead and carry out research activities that cut across multiple research and innovation areas. Contribute to joint research outputs and innovation prototypes that integrate results from different
-
from physical constraints and evolutionary pressures, across multiple scales — from proteins to regulatory networks. The group combines principles from statistical physics, systems biology, and
-
is possible in collaboration with other members of the lab. Desired (but not absolutely required) skills: programming in python, machine learning, and experience in protein structure analysis. Required
-
multiple research and innovation areas. Contribute to joint research outputs and innovation prototypes that integrate results from different streams. Apply for grant applications that lie in the center’s
-
language for scientific computing (C/C++, Matlab, Fortran, Python, Julia, …) Good communication skills and willingness to work in collaborative projects with multiple partners and present results
-
/C++, Matlab, Fortran, Python, Julia, …) Good communication skills and willingness to work in collaborative projects with multiple partners and present results at conferences, project meetings and
-
University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Summary
-
linear algebra; Excellent programming skills, preferably in Python. Experience with AI/HPC supercomputing and running software on scale. You are highly motivated, independent, and creative. Strong
-
, natural language processing is a plus. Solid mathematics foundations, especially statistics, calculus and linear algebra; Excellent programming skills, preferably in Python. Experience with AI/HPC