Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- Heidelberg University
- Leibniz
- Karlsruher Institut für Technologie (KIT)
- Catholic University Eichstaett-Ingolstadt
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Max Planck Institute for Evolutionary Anthropology, Leipzig
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Solid State Research, Stuttgart
- TU Dresden
- Technische Universität Ilmenau
- University of Tübingen
- Universität Freiburg, Historisches Seminar
- 6 more »
- « less
-
Field
-
-scale controllable, and cost-efficient disease models by bringing together experts in physical chemistry, physics, bioengineering, molecular systems engineering, machine learning, biomedicine, and disease
-
well as ionic materials such as oxides in conjunction with method development on predicting thermodynamic stability utilizing machine learning. The project aims at developing and employing data-driven and density
-
Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | about 2 months ago
/machine learning methods for surface geochemical exploration # Preparation of multi-method exploration-campaigns for known deposits in Europe including the development of an adaptive strategy # Methods
-
Postdoc (f/m/d) Methods for Geochemical Exploration and Sampling Strategy / Completed PhD in the ...
# Work in an interdisciplinary team to develop analytical and statistical/machine learning methods for surface geochemical exploration # Preparation of multi-method exploration-campaigns for known deposits
-
talents and passion as we work together to drive forward scientific progress. The Institute of Machine Learning in Biomedical Imaging (IML) focuses on pioneering research to harness the power of machine
-
for data-efficient exploration and optimization within the process parameter space as well as for adaptive, data-driven machine learning to map the electrolysis process to a digital twin. Data workflows and
-
) develops solutions for digital health challenges. As an emerging European hub for applied artificial intelligence (AI) and machine learning (ML), we aim at modeling large-scale, high throughput biomedical
-
or inflammatory processes, e.g., during organ development or tissue regeneration. Your tasks: Bioinformatic, statistical, and machine learning-based analysis of experimental, data generated via a broad spectrum of
-
sequencing, large-scale genomic, transcriptomic, proteomic, metabolomic, and phenotypic data) using cutting-edge technologies, such as machine learning You will perform transcriptomic and epigenetic analysis
-
Universität Freiburg, Historisches Seminar | Freiburg im Breisgau, Baden W rttemberg | Germany | about 2 months ago
military strategy; on how the wars were prepared, experienced and remembered; and on how peace was made. BLOCKADE sets out to prove that these blockades are crucial to understanding not only the way