Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Munich
- Eindhoven University of Technology (TU/e)
- Carnegie Mellon University
- Cranfield University
- NTNU - Norwegian University of Science and Technology
- University of Exeter
- Delft University of Technology (TU Delft)
- Aalborg University
- Copenhagen Business School
- DAAD
- ETH Zürich
- Leibniz
- NIOZ Royal Netherlands Institute for Sea Research
- Newcastle University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Technical University of Denmark
- University of Luxembourg
- University of Southern Denmark
- VIB
- AALTO UNIVERSITY
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Chalmers University of Technology
- Empa
- Leiden University
- Linköping University
- Loughborough University;
- NTNU Norwegian University of Science and Technology
- Swedish University of Agricultural Sciences
- Technische Universitaet Dresden
- The University of Manchester
- Universitat Autonoma de Barcelona
- University of Amsterdam (UvA)
- University of Basel
- University of Birmingham
- University of Cambridge
- University of Cambridge;
- University of Exeter;
- University of Massachusetts Medical School
- University of Nottingham
- University of Regensburg
- University of Texas at El Paso
- University of Twente
- Utrecht University
- Vrije Universiteit Brussel (VUB)
- ;
- Aalborg Universitet
- Atlantic Technological University
- Auburn University
- BCBL - Basque Center on Cognition, Brain and Language
- Bydgoszcz University of Science and Technology
- CNRS
- Catholic University Eichstaett-Ingolstadt
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- City St George’s, University of London
- Columbia University
- Computer Vision Center
- Computer Vision Center (CVC)
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Duke University
- European Magnetism Association EMA
- Faculty of Science, Charles University
- Forschungszentrum Jülich
- Graz University of Technology
- Grenoble INP - Institute of Engineering
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- KU LEUVEN
- Karolinska Institutet, doctoral positions
- King's College London;
- LIP - Laboratório de Instrumentação e Física Experimental de Partículas
- La Trobe University
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Luxembourg Institute of Science and Technology
- Manchester Metropolitan University;
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for the History of Science •
- Monash University
- Nottingham Trent University
- ONERA
- Poznan University of Technology
- Queensland University of Technology
- SciLifeLab
- Tallinn University of Technology
- Technical University Of Denmark
- The Belgian Nuclear Research Centre
- The Open University;
- UCL
- UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA
- UTIA, Czech Academy of Sciences, Prague.
- UiT The Arctic University of Norway
- Umeå University
- Universidade de Coimbra
- University Medical Centre Groningen (UMCG)
- University of Bergen
- University of Berne, Institute of Cell Biology
- University of California Berkeley
- University of Leeds
- University of Melbourne
- 90 more »
- « less
-
Field
-
research program that brings together physics, chemistry, and machine learning. Your research tasks will include: Uncertainty Estimation in Deep Neural Networks for MLFFs Implement and test uncertainty-aware
-
costs and energy requirements of state-of-the-art deep learning models significantly, while democratizing them for a vast community of users, researchers, and practitioners. The task is to perform just
-
to plant biosciences where the impact could be huge and as a result exciting opportunities get missed. When we use light to image deep into complex samples there is a common problem that occurs – the light
-
Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
-
Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
-
of novel physics-guided AI algorithms for drug design, integrating physics-based modeling with state-of-the-art deep learning methods. The project will focus on creating a next-generation docking framework
-
Functions Developing and implementing machine learning and deep learning models to analyze forestry, physiological, and ecological datasets Modeling plant growth, carbon allocation, stress response (e.g
-
Initiatives in Forest Research (WIFORCE) program. The successful applicant will work on the development of bioacoustic monitoring methods using automated recording units (ARUs), deep learning methods, and
-
science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
-
, you will work on a cutting-edge, multidisciplinary research program that brings together physics, chemistry, and machine learning. Your research tasks will include: Uncertainty Estimation in Deep Neural