Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- Leibniz
- DAAD
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Chemical Physics of Solids, Dresden
- Max Planck Institute for Demographic Research (MPIDR)
- University of Tübingen
- European Magnetism Association EMA
- Fritz Haber Institute of the Max Planck Society, Berlin
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Demographic Research, Rostock
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Physics, Garching
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Max Planck Institute for Social Law and Social Policy, Munich
- Max Planck Institute of Biophysics, Frankfurt am Main
- 11 more »
- « less
-
Field
-
functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven
-
file, to Prof. Dr. Schulz (schulzm@in.tum.de), cc-ing Prof. Dr. Carsten Trinitis (carsten.trinitis@tum.de) and Lisa Francke (lisa.francke@in.tum.de). Applications received after the application deadline
-
algorithms to analyze OMICS data (e.g., genome, transcriptome, proteome, microbiome) from patient samples and basic research perform single-cell RNA-Seq and spatial transcriptomics analysis apply artificial
-
-sampling data. Furthermore, the position holder will play a central role in creating high-quality training datasets (seagrass maps) to support artificial intelligence (AI) algorithms used in related projects
-
near-real-time forecast system for the Baltic Sea Generate high-resolution daily surface salinity maps for the Baltic Sea and validate them with available observational datasets Develop algorithms and
-
existing quantitative methods in international nuclear safeguards with state-of-the-art artificial intelligence/machine learning (AI/ML) algorithms Contribute to standardising methodologies for calculating
-
, transforming the EU into a modern, resource-efficient, and competitive economy. Responsibilities and qualifications The focus of this PhD/Postdoc project is to develop a new Li-operated potentiometric
-
to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage
-
computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience
-
research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data