Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Leibniz
- Forschungszentrum Jülich
- Nature Careers
- Hannover Medical School •
- Humboldt-Stiftung Foundation
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Fraunhofer-Gesellschaft
- Helmholtz-Zentrum Geesthacht
- Universität Hamburg •
- Deutsches Elektronen-Synchrotron DESY •
- Dresden University of Technology •
- Karlsruhe Institute of Technology •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Sustainable Materials •
- TU Dresden
- Technische Universität Berlin •
- University of Münster •
- University of Stuttgart •
- University of Tübingen
- University of Tübingen •
- 14 more »
- « less
-
Field
-
, ideally with knowledge of Drosophila genetics and live imaging the applicant should be able to relocate for 6 months to our collaborator in Chile, where they will develop and optimize novel metabolite
-
domains are e.g., signal-/image processing, artificial intelligence and machine learning. Tasks: research and development in designing and programming field programmable gate arrays (FPGAs) for accelerating
-
and/or atom probe tomography Experience in image processing Experience in programming with Python or Matlab is strongly desired Team spirit as well as excellent communication and organizational skills
-
well as data processing meth-ods for analyzing block-like structures made of limestone and granite, Evaluation of data using acoustical imaging techniques and passive seismic monitoring, Carrying out
-
highly motivated PhD student to join a DFG-funded international project that investigates plant - microbiome interactions through large-scale metabolomics and other - omics platforms. Your tasks: Process
-
for imaging plant tissues (rose cuttings) Realisation of a corresponding measuring stand and implementation of test series for imaging Realisation of a data processing routine for the automated detection
-
or directly inside the cell. This approach requires biochemistry or cell biology for the sample preparation and scripting skills for the ET data processing. For more information, please read PMID33762348
-
resonance energy transfer, siRNA mediated gene knock out, cellular imaging, qPCR, etc.) to elucidate unknown interactions between GPCRs and receptor tyrosine kinases at the cellular level. Analyses will focus
-
/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
-
measuring stand for the collection of hyperspectral data on a test field Collection of imaging data and creation of a database Establishment of a data processing routine for pre-processing the hyperspectral