Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- DAAD
- Cranfield University
- Forschungszentrum Jülich
- Technical University of Munich
- University of Luxembourg
- University of Southern Denmark
- ;
- University of Groningen
- Chalmers University of Technology
- Radboud University
- Linköping University
- NTNU - Norwegian University of Science and Technology
- University of Göttingen •
- Wageningen University and Research Center
- Curtin University
- Susquehanna International Group
- Leiden University
- Leibniz
- University of Adelaide
- Eindhoven University of Technology (TU/e)
- Swedish University of Agricultural Sciences
- University of Twente (UT)
- University of Tübingen
- Utrecht University
- ; Swansea University
- Ghent University
- University of Bergen
- University of Sheffield
- University of Twente
- CNRS
- CWI
- Erasmus University Rotterdam
- Ludwig-Maximilians-Universität München •
- Monash University
- SciLifeLab
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Antwerp
- University of Oslo
- Humboldt-Stiftung Foundation
- La Trobe University
- Lulea University of Technology
- Maastricht University (UM)
- National Research Council Canada
- Umeå University
- University of Basel
- University of Newcastle
- University of Nottingham
- Uppsala universitet
- VIB
- ; Cranfield University
- ; University of Birmingham
- ; University of Exeter
- AALTO UNIVERSITY
- Canadian Association for Neuroscience
- Cornell University
- ETH Zürich
- Imperial College London
- KINGS COLLEGE LONDON
- Leiden University; Leiden
- Maastricht University (UM); Maastricht
- Norwegian University of Life Sciences (NMBU)
- Purdue University
- Swinburne University of Technology
- Technical University Of Denmark
- The University of Chicago
- The University of Manchester
- University of Bonn •
- University of Cambridge
- University of Miami
- University of Stuttgart •
- University of Utah
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Brussel
- ; Newcastle University
- ; Technical University of Denmark
- ; The University of Manchester
- Aalborg University
- Abertay University
- Biology Centre CAS
- Carnegie Mellon University
- Columbia University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Dresden University of Technology •
- Duke University
- GFZ Helmholtz Centre for Geosciences
- ICN2
- KU LEUVEN
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Queensland University of Technology
- Radboud University; Nijmegen
- Radix Trading LLC
- Saarland University •
- UNIVERSITY OF HELSINKI
- University of British Columbia
- University of Cambridge;
- University of Copenhagen
- 90 more »
- « less
-
Field
-
work with large-scale behavioural data sets using a range of approaches, including heritability analyses and machine learning. Some data for the project already exist, but additional data will be
-
stages or within subcellular compartments. During your PhD, you will: Gain expertise in translation regulation, single-cell sequencing and developmental biology Learn to design and carry out experiments
-
algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation
-
adapt to unexpected events. In particular, we focus on the role of faultlines—the imaginary dividing lines that split a system into subgroups—in shaping how teams collaborate and perform under pressure
-
collaboration with the UvA data department); conducting in depth studies on a subset of UvA students to investigate the role of psychological variables (e.g., motivation) and curriculum characteristics (e.g
-
learning, offers powerful solutions to automate these tasks and provide reliable real-time information. This doctoral project is part of a 5-year research chair on Computer vision applied to the swine sector
-
for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
-
the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
-
(NREL), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NREL
-
HPC environments Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students Knowledge of biology and medicine is a plus Highly