Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- EPFL
- Texas A&M AgriLife
- Aarhus University
- Durham University
- National Energy Technology Laboratory (NETL)
- Technical University of Munich
- University of Central Florida
- Utrecht University
- Duke University
- Oak Ridge National Laboratory
- Aalborg University
- CNRS
- Cornell University
- SciLifeLab
- Lunds universitet
- University of Amsterdam (UvA)
- University of New Hampshire
- University of Oslo
- University of Turku
- Yale University
- AALTO UNIVERSITY
- Carnegie Mellon University
- Chalmers University of Technology
- Imperial College London
- Institut Pasteur
- KTH Royal Institute of Technology
- Lulea University of Technology
- National Aeronautics and Space Administration (NASA)
- Pennsylvania State University
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Rutgers University
- Stanford University
- University of Groningen
- University of Luxembourg
- University of Minnesota
- University of New Hampshire – Main Campus
- University of Oulu
- University of Washington
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- ARCNL
- Anacker Lab
- CNRS-LMA
- Centre for Genomic Regulation
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- ENS
- Eindhoven University of Technology (TU/e)
- European Space Agency
- European Synchrotron Radiation Facility
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Fred Hutchinson Cancer Center
- Fundació per a la Universitat Oberta de Catalunya
- George Washington University
- Ghent University
- Harvard University
- Helmholtz Association of German Research Centres
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Human Technopole
- ICMAB
- ICN2
- INSERM
- Institute of Bioorganic Chemistry Polish Academy of Sciences
- International Iberian Nanotechnology Laboratory (INL)
- Karolinska Institutet (KI)
- King's College London
- Linköping University
- Lodz University of Technology
- Luleå University of Technology
- Max Planck Institute for Demographic Research (MPIDR)
- McGill University
- New York University
- Queen Mary University of London
- Queen Mary University of London;
- Sandia National Laboratories
- Swarthmore College
- Swedish University of Agricultural Sciences
- Syracuse University
- TTI
- Texas A&M University
- The Swedish University of Agricultural Sciences
- The University of Arizona
- UNIVERSITY OF VIENNA
- Universidade de Coimbra
- University for Continuing Education Krems
- University of Calgary
- University of Deusto
- University of Graz
- University of Lincoln
- University of Lund
- University of Nevada, Reno
- University of North Carolina at Chapel Hill
- University of Oxford
- University of Oxford;
- Université de Bordeaux / University of Bordeaux
- Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna)
- Virginia Tech
- Vrije Universiteit Brussel (VUB)
- 88 more »
- « less
-
Field
-
design and printing. • Metamaterial design and analysis, preferably with strong expertise in COMSOL Multiphysics. • Strong programming experience: C++, Matlab, Mathematica, Python. • Publications
-
MATLAB, Python, R, or related platforms when applicable. Support the development of innovative analytical methods for neurophysiological signal interpretation and epilepsy research. Scientific
-
of microorganisms in biogeochemical transformations, their adaptation to different environments, and their stress response. As part of this dynamic environment, you will have the opportunity to contribute to cutting
-
males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high
-
development, spin simulations, or MR signal modeling is highly desirable. Strong programming skills, for example in Python, MATLAB, C/C++, or a comparable scientific computing environment. Experience with
-
including transformers, self-supervised learning, foundation models, autoencoders or related architectures; strong programming skills in Python and experience with a deep-learning framework such as PyTorch
-
, or density ranges. We recognize that acoustic-based abundance estimation may ultimately require multiple complementary approaches that address different components of the acoustic observation process and
-
experiments. Utilize laboratory techniques that support hypothesis-driven neuroscience research. Analyze and Interpret Data Process, interpret, and visualize scientific data using tools such as R, Python
-
scientific programming in Python and the use of frameworks such as PyTorch or TensorFlow. It is also necessary to have experience in federated learning and deep learning applied to medical imaging, as
-
males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high