Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- DAAD
- Nature Careers
- Technical University of Munich
- Forschungszentrum Jülich
- Cranfield University
- University of Groningen
- ;
- Susquehanna International Group
- Leibniz
- SciLifeLab
- University of Nottingham
- University of Southern Denmark
- Chalmers University of Technology
- Ghent University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- University of Oslo
- ; University of Nottingham
- CWI
- Curtin University
- Leiden University
- Radboud University
- Umeå University
- University of Göttingen •
- University of Newcastle
- Wageningen University and Research Center
- ; Newcastle University
- ; Technical University of Denmark
- ; University of Birmingham
- ; University of Exeter
- ; University of Oxford
- Aarhus University
- Columbia University
- Linköping University
- Murdoch University
- NTNU - Norwegian University of Science and Technology
- National Research Council Canada
- Purdue University
- Radix Trading LLC
- Universite de Moncton
- University of Adelaide
- University of Antwerp
- University of British Columbia
- University of Luxembourg
- University of Utah
- Utrecht University
- VIB
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Swansea University
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Leeds
- ; University of Strathclyde
- ; University of Surrey
- AALTO UNIVERSITY
- Aalborg University
- CUNY School of Medicine
- Canadian Association for Neuroscience
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Deutsches Elektronen-Synchrotron DESY •
- Drexel University
- Duke University
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- European Magnetism Association EMA
- Helmholtz-Zentrum München
- Leiden University; Leiden
- Leipzig University •
- Masaryk University - Faculty of Science – RECETOX
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- McGill University
- Michigan State University
- Monash University
- National Institute for Bioprocessing Research and Training (NIBRT)
- Queensland University of Technology
- RWTH Aachen University
- SINTEF
- TU Dresden
- Technical University Of Denmark
- The Ohio State University
- The University of Manchester
- The University of Newcastle
- Trinity College Dublin
- Universiteit van Amsterdam
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Basel
- University of California Irvine
- University of Cambridge
- University of Cambridge;
- University of Copenhagen
- University of Exeter
- University of Massachusetts Medical School
- University of New Hampshire – Main Campus
- University of Nottingham;
- University of Potsdam •
- University of Southern Queensland
- University of Tübingen
- 90 more »
- « less
-
Field
-
will be trained in a variety of powerful, modern analytical techniques including chemical proteomics and metabolomics. They will have access to advanced synthesis facilities, as well as biological models
-
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
-
unique opportunity to acquire a very broad skill set of biochemical, biophysical, bioimaging and molecular techniques, combined with diverse data analysis and bioinformatics skills. The project would suit
-
powerful, modern analytical techniques including chemical proteomics and metabolomics. They will have access to advanced synthesis facilities, as well as biological models, such as macrophages and organoids
-
, the CAPeX approach to finding new electrocatalytic materials for energy conversion reactions uses state-of-the-art machine learning techniques, but experimental feedback is needed to improve the models and
-
the opportunity to contribute to collaborative efforts at the interface of data science, imaging, and materials research. You will strengthen the data science and machine learning activities of the IAS-9 with
-
) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
-
machine learning frameworks like PyTorch. The candidate should demonstrate strong analytical abilities, an eagerness to learn and solve complex problems, and possess effective collaboration skills
-
modelling, multi-disciplinary optimization or AI-based surrogate modelling techniques. · Soft skills: o Strong analytical and problem-solving abilities. o Excellent communication and technical
-
into the enzyme-substrate interaction in the same set of enzymes. Further, there will be collaboration with a PhD student from NTNU working with similar analytical methods on another class of carbohydrate-active