Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Nature Careers
- Leibniz
- Forschungszentrum Jülich
- Heidelberg University
- University of Tübingen
- DAAD
- ; Technical University of Denmark
- Fraunhofer-Gesellschaft
- Fritz Haber Institute of the Max Planck Society, Berlin
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- 2 more »
- « less
-
Field
-
interdisciplinary thinking • High level of initiative and commitment • Ability to work in a team and communication skills • Good knowledge of Ansys Fluent • Experience with deep learning methods and packages
-
that provides equal opportunities. We are convinced that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim
-
Postdoc – Scientific lead of a joint research project in the field of Direct Air Capture and Storage
Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing skills during your induction. Our Offer: We work on the very
-
given preference. Learn more about diversity at Helmholtz Munich Our commitment Helmholtz Munich Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH) Institute for Diabetes and Obesity
-
motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
-
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
-
to teach as part of the institute’s Masters and doctoral program but will not be required or expected to do so. The salary is paid according to the German TV-L system (the salary agreement for public service
-
, survey) or applied microeconometrics, and applied economics. You have experience with big data and machine learning methods? This would be a particular asset! With excellent English language skills, both
-
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
-
people of different talents, experiences, and skills work together to learn from each other and generate new knowledge and methods to create a better quality of life. TRIGGERINK PROJECT The TriggerINK