Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- University of Nottingham
- Nature Careers
- University of Oslo
- Leibniz
- Maastricht University (UM)
- NTNU Norwegian University of Science and Technology
- The University of Iowa
- University of Exeter
- University of Warwick
- Cranfield University
- Ecole Centrale de Lyon
- Hasselt University
- KNAW
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- NTNU - Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- Queensland University of Technology
- SciLifeLab
- Sorbonne University, IMPMC-UMR 7590
- Swansea University
- Technical University of Denmark
- Technical University of Munich
- The University of Manchester;
- University of Sheffield
- University of Warwick;
- Vrije Universiteit Brussel
- Vrije Universiteit Brussel (VUB)
- Aalborg University
- Academic Europe
- CY Cergy Paris University
- ETH Zürich
- Eberhard Karls University Tübingen
- Eindhoven University of Technology (TU/e)
- Electronics and Informatics Department
- European Magnetism Association EMA
- Faculty of Science, Charles University
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Graz University of Technology
- Grenoble INP - Institute of Engineering
- Inria, the French national research institute for the digital sciences
- Instituto Superior de Agronomia
- Jagiellonian University
- King's College London
- LEM3
- Laboratoire INSERM UMR1311 Rouen Normandie Université
- Linköping University
- Luleå tekniska universitet
- Lunds universitet
- Manchester Metropolitan University;
- Medical University of Gdańsk
- Mid Sweden University
- Monash University
- Museum fuer Naturkunde, Leibniz Institute for Evolution and Biodiversity Science
- Newcastle University
- Niccolò Cusano University
- Radboud University Medical Center (Radboudumc)
- Slovak University of Agriculture in Nitra
- Sveriges Lantbruksuniversitet
- Temple University
- The Open University
- The University of Manchester
- Universidade do Minho
- University of Adelaide
- University of Amsterdam (UvA)
- University of Cambridge
- University of Cambridge;
- University of Greenwich
- University of Leeds
- University of Lund
- University of Oxford
- University of Plymouth
- University of Southern Denmark
- University of St Andrews;
- University of Surrey
- Uppsala universitet
- VIB
- cnrs
- 69 more »
- « less
-
Field
-
-resolution imaging mass spectrometer. Calibrate sensitivity, quantification and spatial resolution using model samples/standards. Develop and validate and resonant laser ionisation pathways for selected
-
digitalization, digital technologies and media (e.g 3D modelling), and quantitative and qualitative scientific methods including those related to digital technology, media and advanced data analysis, will be
-
, or geometric deep learning. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage
-
with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage. Experience and abilities
-
methodology combines Aegean and Egyptian iconography, Bronze Age and later texts, ethnographic and experimental studies, 3D modelling, and scientific analyses of archaeological remains. Based on the workflows
-
awareness (SA), like our work on Situational Graphs (S-Graphs), improve on existing techniques by combining 3D environmental maps with detailed knowledge about objects into a single, optimized model. First
-
modelling workflow, linking micro-scale 3D finite element simulations and numerical homogenisation of metamaterial unit cells to meso-/macro-scale structural models capable of delivering accurate stress
-
studies and post-doctoral periods. b) Relevant experience in cell and tissue culture (2D and 3D), molecular biology, and the development of in vitro 3D models based on 3D bioprinting. Experience in
-
applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
-
of biologically and disease-relevant questions. We apply these advanced imaging technologies to clinically meaningful model systems in order to evaluate their robustness, scalability, and added value