Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Aalborg University
- NTNU Norwegian University of Science and Technology
- Technical University of Munich
- CNRS
- Faculty of Science, Charles University
- Leibniz
- University of Antwerp
- Uppsala universitet
- Vrije Universiteit Brussel (VUB)
- Eindhoven University of Technology (TU/e)
- Linköping University
- NTNU - Norwegian University of Science and Technology
- VIB
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Copenhagen Business School
- Delft University of Technology (TU Delft)
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Inria, the French national research institute for the digital sciences
- KU LEUVEN
- Leiden University
- Maastricht University (UM)
- Technical University Of Denmark
- University of Cambridge
- University of Massachusetts Medical School
- University of Texas at El Paso
- Utrecht University
- AALTO UNIVERSITY
- Auburn University
- CNRS UMR6614 CORIA
- Centrale Supelec
- Chalmers University of Technology
- Constructor University Bremen gGmbH
- Duke University
- ETH Zürich
- Electronics and Informatics Department
- Erasmus University Rotterdam
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Hereon
- IMDEA Networks Institute
- IMEC
- INRIA
- LEM3
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Linköpings universitet
- Max Planck Institute for the History of Science •
- Michigan State University
- NIOZ Royal Netherlands Institute for Sea Research
- Oxford Brookes University
- Poznan University of Technology
- Radboud University Medical Center (Radboudumc)
- SciLifeLab
- Science me Up
- Swedish University of Agricultural Sciences
- Tampere University
- Technical University of Denmark
- The University of Chicago
- The University of Manchester
- Umeå University
- University of Amsterdam (UvA)
- University of Birmingham
- University of Luxembourg
- University of Nottingham
- University of South Bohemia
- Université Gustave Eiffel
- Université Toulouse Capitole
- cellumation GmbH
- cnrs
- 59 more »
- « less
-
Field
-
, or geometric deep learning. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage
-
subgroups Support public health policy, prevention and hospital planning Provide meaningful feedback to patients, clinicians and policymakers The PhD will work at the interface of machine learning, deep
-
of Science and Freie Universität Berlin, Humboldt-Universität zu Berlin, and Technische Universität Berlin. The IMPRS-KIR traces the deep entanglements of knowledge and its resources from a long-term and
-
topics broadly cover how companies build and retain sustained competitive advantage in the face of current business- and societal challenges. Overall, we are looking for a candidate who is eager to learn
-
of dissertation topics: Developing Remote Sensing–Based Indicators of Landscape State and Change Using Data-Efficient Machine Learning Across Scales Profile of the graduate The graduates have deep theoretical
-
skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX or PyTorch, is a plus. In addition to above-average interest in the topic
-
, or computational imaging; You have strong skills in digital signal processing (DSP), including familiarity with machine learning or deep learning; You have proficiency in scientific programming (e.g., Python, MATLAB
-
or analysis of facial expressions is an advantage. The ideal candidate must have excellent programming skills and experience with deep learning frameworks. Given the interdisciplinary character of AI:EMBODY Lab
-
transformations. The project investigates a hybrid approach that combines deep learning with grammatical inference to develop models that are interpretable, efficient, and mathematically verifiable while leveraging
-
information sources and to provide the relevant analysis of all the available variables in different scenarios conditions. In order to reach this goal, deep learning-based algorithms will be implemented