Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Utrecht University
- ;
- University of Groningen
- Nature Careers
- Wageningen University and Research Center
- University of Antwerp
- Monash University
- SciLifeLab
- VIB
- ; University of Birmingham
- Leiden University
- Technical University of Munich
- ; Swansea University
- ; The University of Manchester
- Chalmers University of Technology
- Ghent University
- Heidelberg University
- NTNU - Norwegian University of Science and Technology
- University of Adelaide
- University of Cambridge
- Vrije Universiteit Brussel
- Curtin University
- DAAD
- Duke University
- Institut Pasteur
- Leibniz
- Luxembourg Institute of Socio-Economic Research (LISER)
- RMIT University
- Technical University of Denmark
- Temple University
- The University of Newcastle
- University of Oxford
- University of Twente
- ; Cranfield University
- ; London School of Economics and Political Science
- ; St George's, University of London
- ; University of Cambridge
- ; University of Greenwich
- ; University of Leeds
- ; University of Reading
- ; University of Surrey
- AALTO UNIVERSITY
- ETH Zurich
- Ecole Polytechnique Federale de Lausanne
- Empa
- Forschungszentrum Jülich
- Jönköping University
- Karlsruhe Institute of Technology •
- La Trobe University
- Leibniz Institute of Ecological Urban and Regional Development (IOER) •
- Linköping University
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Demographic Research (MPIDR)
- Norwegian University of Life Sciences (NMBU)
- Queensland University of Technology
- Radboud University
- Swedish University of Agricultural Sciences
- THE HONG KONG POLYTECHNIC UNIVERSITY
- The Ohio State University
- Trinity College Dublin
- Umeå University
- University of British Columbia
- University of California, Berkeley
- University of Copenhagen
- University of Lund
- University of Luxembourg
- University of Münster •
- University of Pittsburgh
- University of Southern Denmark
- University of Tübingen
- University of Utah
- University of Vienna
- WIAS Berlin
- 63 more »
- « less
-
Field
-
an integrative approach that combines advanced multiomics, spatial transcriptomics, and structural biology with physiological assessments. By selectively perturbing key gene expression programs during homeostasis
-
sites will not be located directly at the source of emissions, which will require transport infrastructure. As part of this work, you will model spatially resolved transformation paths for the energy
-
/or spatial multiomics, advanced imaging, iPS cells, machine learning, and computational biology. The ideal candidate will have a passion for addressing fundamental questions in biology and an eagerness
-
life. The successful candidate will work closely with experts in food allergy, neuroimmunology, gut physiology, and computational biology to characterize immune cell responses, construct spatial maps
-
temporal and spatial controlled drug release systems through stimuli-responsive materials. These tasks are part of a larger Empa's initiative, called Wound Booster , involving several PhD students working
-
molecular biology researcher with expertise in biomedical research and in the operation and support of state-of-the-art single-cell and spatial transcriptomics and metabolomics instrumentation and assays
-
of measuring and understanding social behaviour through digital trace data, such as email traffic, follower networks on a social platform, or spatial co-location networks. The gathered data offers a planetary
-
consist of the following: Numerical simulation of multimode Raman interaction Mode excitation in optical fibers Characterize the modal purity of a multimode Raman amplifier Develop and implement spatial
-
build abstract, spatially explicit models of interacting molecules to examine which properties (features of both the building blocks and the environment) enable replication with sufficient variation and
-
systems on different temporal and spatial scales. For our Research Group Applied Optimization we are looking for a Research Associate / PhD: Physics-informed deep learning for PDE-constrained optimization