Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Delft University of Technology (TU Delft)
- University of Oxford
- EPFL
- Duke University
- Stanford University
- Oak Ridge National Laboratory
- Virginia Tech
- Argonne
- University of North Carolina at Chapel Hill
- Cornell University
- New York University
- Carnegie Mellon University
- Chalmers University of Technology
- Northeastern University
- University of Miami
- Aalborg University
- Eindhoven University of Technology (TU/e)
- University of Texas at Arlington
- Utrecht University
- Aarhus University
- Empa
- Leiden University
- National Energy Technology Laboratory (NETL)
- Princeton University
- Technical University of Munich
- The Ohio State University
- University of Amsterdam (UvA)
- University of Sydney
- University of Washington
- Yale University
- Brookhaven National Laboratory
- National Aeronautics and Space Administration (NASA)
- Pennsylvania State University
- Queen Mary University of London
- Rutgers University
- SciLifeLab
- Baylor College of Medicine
- Durham University
- FAPESP - São Paulo Research Foundation
- Harvard University
- Helmholtz Association of German Research Centres
- King's College London
- Massachusetts Institute of Technology
- McGill University
- Queen Mary University of London;
- SUNY University at Buffalo
- Texas A&M University
- University of Luxembourg
- University of Minnesota
- University of Nevada, Reno
- University of Twente
- University of Twente (UT)
- Vrije Universiteit Brussel
- AALTO UNIVERSITY
- Baylor College of Medicine (BCM)
- Computer Vision Center
- ETH Zürich
- European Space Agency
- ICN2
- Imperial College London
- Istituto Italiano di Tecnologia
- Itä-Suomen yliopisto
- KTH Royal Institute of Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Maastricht University (UM)
- Stony Brook University
- The University of Iowa
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF SYDNEY
- University of California
- University of Oxford;
- University of Turku
- VIB
- ;
- Aalborg Universitet
- BAM Bundesanstalt für Materialforschung und -prüfung
- Blekinge Institute of Technology
- Bournemouth University;
- CNRS
- Campbell University
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Copenhagen Business School
- FCiências.ID
- Fundació per a la Universitat Oberta de Catalunya
- George Washington University
- Georgetown University
- HITS gGmbH
- Heidelberg University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Human Technopole
- Inria, the French national research institute for the digital sciences
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- Institute of Organic Chemistry and Biochemistry of the CAS (IOCB Prague)
- Instituto de Neurociencia Avanzada de Barcelona
- Jönköping University
- KU LEUVEN
- Karolinska Institutet (KI)
- King Abdullah University of Science and Technology
- Leeds Beckett University;
- 90 more »
- « less
-
Field
-
motivated individual with experience in deep learning and a PhD in computer science, electrical engineering, biomedical engineering, biomedical informatics, biostatistics or a related discipline. Required
-
economy. As a postdoctoral researcher, you will unravel how silicon suppresses liquid copper infiltration at the atomic scale, using density functional theory-accurate machine-learned potentials and
-
at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
-
methods with the ability to implement and evaluate machine-learning systems at scale. Candidates may come from topological data analysis, geometric deep learning, network science, statistical physics
-
interested in mentoring and supporting MSc and PhD students. You are a machine learning enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present
-
, welfare know-how, modern technology and superb education system, Finland is an exotic and safe country to work in. Please visit the Life in Finland section on our website to learn more. How to apply
-
statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use intensity, climate change, nitrogen deposition. Proven capability
-
engineering and clinical physiology. Projects may involve signal quality assessment, artifact detection, waveform segmentation, feature extraction, hemodynamic modeling, time-series analysis, machine learning
-
: Interest in developing robotic systems for rehabilitation, assistive technology, or neuro-prosthetics, leveraging machine learning to improve precision and adaptability in user interactions. Knowledge
-
(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual