Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- University of Nottingham
- Technical University of Munich
- CNRS
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Technical University of Denmark
- University of Oslo
- Monash University
- Forschungszentrum Jülich
- KU LEUVEN
- Leibniz
- Delft University of Technology (TU Delft)
- The University of Manchester
- University of Warwick
- Aalborg University
- Inria, the French national research institute for the digital sciences
- University of Birmingham
- University of Twente
- VIB
- King's College London
- The University of Iowa
- University of Plymouth
- University of Southern Denmark
- University of Twente (UT)
- Vrije Universiteit Brussel
- Cranfield University
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Faculty of Science, Charles University
- Leiden University
- Swedish University of Agricultural Sciences
- University of Amsterdam (UvA)
- University of Exeter
- University of Luxembourg
- Uppsala universitet
- Wageningen University & Research
- Aalborg Universitet
- Carnegie Mellon University
- Duke University
- Empa
- European Synchrotron Radiation Facility
- Hannover Medical School •
- Linköping University
- Nantes Université
- Newcastle University
- Norwegian University of Life Sciences (NMBU)
- Queensland University of Technology
- SciLifeLab
- Slovak University of Agriculture in Nitra
- Umeå University
- University of Cambridge
- University of Copenhagen
- University of East Anglia
- University of Surrey
- University of Texas at El Paso
- Ariel University
- DAAD
- Deutsches Elektronen-Synchrotron DESY
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Erasmus MC (University Medical Center Rotterdam)
- Fraunhofer-Gesellschaft
- Helmholtz-Zentrum Geesthacht
- ICN2
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Institut Pasteur
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- KNAW
- King's College London;
- MASARYK UNIVERSITY
- Manchester Metropolitan University
- Michigan State University
- Nicolaus Copernicus Astronomical Center
- Oak Ridge National Laboratory
- Purdue University
- Sorbonne University, IMPMC-UMR 7590
- Swansea University
- Tampere University
- UNIVERSITY OF SYDNEY
- Universite de Montpellier
- University Medical Center Utrecht (UMC Utrecht)
- University of Adelaide
- University of Basel
- University of Exeter;
- University of Hamburg •
- University of Houston
- University of Leeds
- University of Newcastle
- University of Pittsburgh
- University of Sydney
- University of Tübingen
- University of Washington
- University of Westminster;
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Brussel (VUB)
- ;
- Abertay University
- Academic Europe
- Adam Mickiewicz University, Poznań
- 90 more »
- « less
-
Field
-
monitoring of health. The precision medicine research is expected to make use of existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records
-
continent with one of the most advanced, if not the most advanced, open data infrastructures in the world. Considering the new geopolitical realities and a rapidly observed paradigm shift from an open to a
-
uncertainty significantly. Unfortunately, it is challenging to measure groundwater fluxes in the field. A new sensor prototype developed by the company iFLux to measure real-time groundwater fluxes in the field
-
proficiency Strong teamwork and communication skills Ability to work independently, with flexibility, humour and critical thinking Desirable criteria: Experience with medical image analysis Experience with
-
of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role
-
, spectroscopic signatures, microstructural images, processing conditions, and macroscale performance will be used for the optimization of materials. The candidate will collaborate extensively with in
-
-throughput experiments in molecular biology, image and video analyses as well as pattern recognition of complex public health data Collaboration in the development of algorithms/methods and development
-
materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
-
-related transport phenomena all require precise knowledge of fluid flow dynamics. Advanced experimental methods such as Particle Image Velocimetry (PIV) and 3D Lagrangian Particle Tracking (LPT) provide
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a PhD student, you will be embedded in the research group Computational Imaging and