Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- Nature Careers
- Technical University of Munich
- Curtin University
- DAAD
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- University of Luxembourg
- CNRS
- Cranfield University
- Eindhoven University of Technology (TU/e)
- Norwegian University of Life Sciences (NMBU)
- Technical University of Denmark
- University of Southern Denmark
- Delft University of Technology (TU Delft); Delft
- ETH Zürich
- KINGS COLLEGE LONDON
- La Trobe University
- Loughborough University
- Lunds universitet
- NTNU - Norwegian University of Science and Technology
- UNIVERSIDAD POLITECNICA DE MADRID
- University of Twente (UT)
- Université Laval
- Uppsala universitet
- ;
- Aalborg University
- Academic Europe
- Agricultural university - Plovdiv, Bulgaria
- Amsterdam UMC
- Ariel University
- Arts et Métiers Institute of Technology (ENSAM)
- Brookhaven Lab
- Brookhaven National Laboratory
- COFAC
- Centre for Genomic Regulation
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Deutsches Elektronen-Synchrotron DESY •
- Dublin City University
- Ecole Normale Supérieure
- Edmund Mach Foundation
- Elestor BV
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- FCT NOVA - UNIDEMI
- Fraunhofer-Gesellschaft
- Ghent University
- Hannover Medical School •
- Human Technopole
- IMEC
- IRTA
- Itä-Suomen yliopisto
- Jagiellonian University
- KU LEUVEN
- King's College London
- Leibniz
- Linköpings universitet
- Ludwig-Maximilians-Universität München •
- Maastricht University (UM); Maastricht
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute of Biochemistry, Martinsried
- McGill University
- Monash University
- Mälardalen University
- NTNU Norwegian University of Science and Technology
- New York University
- Oxford Brookes University
- Queensland University of Technology
- Radboud University
- School of Business, Society and Engineering
- TU Dresden
- Tallinn University of Technology
- Technische Universität Berlin •
- The University of Alabama
- UCL
- Umeå University
- Umeå universitet
- Universidade de Coimbra
- Universidade de Vigo
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of California, Los Angeles
- University of Cambridge
- University of Cambridge;
- University of East Anglia
- University of Essex
- University of Lund
- University of Minnesota
- University of Sheffield
- University of Twente (UT); Enschede
- University of Warwick
- Universität Hamburg •
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- Vrije Universiteit Amsterdam (VU)
- Warsaw University of Technology
- École nationale des ponts et chaussées
- 90 more »
- « less
-
Field
-
of machine learning to evaluate the predictive value of biomarkers from various sources: donor-related data, perfusion fluid, and kidney biopsies. Kidney biopsies may contain unique information about organ
-
methods in forestry generate vast quantities of data and demand more accurate information. Machine learning allows for the systematization and processing of this data into new forms of information
-
twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
-
in Computer Science, Artificial Intelligence, or related field. Solid programming and development skills (Python, Git, Bash). Experience with machine learning (e.g PyTorch/TensorFlow). Strong interest
-
Your Job: Working with a broad range of imaging modalities (e.g. structural, diffusion-weighted and functional MRI, intracranial EEG) Multi-scale modelling of human brain development Using machine
-
and image processing. Prior experience with data fusion, machine learning, or super-resolution methods will be considered an asset. Candidates should be motivated to conduct independent scientific
-
results. You will join the Section for renewable energy and forest sciences and conduct cutting‑edge research using remotely sensed point‑cloud and image data to map forests. The position is part of two
-
data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics. Familiarity with simulation environments
-
to compensate for such aberrations, significantly enhancing image quality. Adaptive requires knowledge of the wavefront to be corrected. Our team has been developing a machine-learning approach to wavefront
-
excellence through standard and customized omics data analysis, as well as to implement innovative machine learning, data integrative and multimodal solutions. The Center is located in the School of Medicine