Sort by
Refine Your Search
-
Listed
-
Employer
- DAAD
- Forschungszentrum Jülich
- Technical University of Munich
- Nature Careers
- Leibniz
- Fraunhofer-Gesellschaft
- Heidelberg University
- University of Göttingen •
- Leipzig University •
- Ludwig-Maximilians-Universität München •
- University of Potsdam •
- ;
- ; Technische Universität München
- Administrative Headquarters of the Max Planck Society, Munich
- Deutsches Elektronen-Synchrotron DESY •
- Frankfurt School of Finance & Management •
- Justus Liebig University Giessen •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- University of Tübingen
- 10 more »
- « less
-
Field
-
with chemoreception and sensory biological techniques (SSR, GC-EAD, EAG). •Experience in analytical chemistry (GC-FID, GC-MS). •Experience in or willingness to learn statistical data analyses, data
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
Planck School of Photonics or the Göttingen Graduate Center for Neurosciences, Biophysics, and Molecular Biosciences (GGNB). The PhD student will work on novel AI-aided data analytics, especially
-
, an in vitro testing regime will be developed to assess the specified endpoints of osteoporosis, using well-defined and standardised analytical methods. Specifically, the activities include: Research and
-
analytical polymer chemistry as well as in membrane technology Knowledge in the field of alkaline solid electrolyte polymers and their application in electrochemical membrane processes such as fuel cells and
-
under civil law in Freising, is a research institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high
-
microscopy Experience in cell sorting via FACS and experimental lung research would be advantageous Extraordinary level of autonomy, initiative, analytical thinking and ability to work in a team Excellent
-
, geometallurgy or related field Experience in either stochastics, deep learning or minerals processing is needed Structured and solution-oriented working style, analytical thinking and above-average committment
-
Work with globally unique analytical measurement International, interdisciplinary work environment on an attractive campus (AEG Campus), including many collaboration opportunities with partners
-
science and energy technologies Basic knowledge of artificial intelligence and data analysis methods Programming skills, ideally in Python Independent and analytical way of working Reliable and thorough
-
of the possible influence of storage-related factors on the LOHC purity Method development and application of suitable analytics (e.g. GC(-MS), NMR, etc.) for the qualitative and quantitative determination of by