Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Technical University of Munich
- Leibniz
- Heidelberg University
- Forschungszentrum Jülich
- University of Tübingen
- DAAD
- Fraunhofer-Gesellschaft
- Fritz Haber Institute of the Max Planck Society, Berlin
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- WIAS Berlin
- ; Technical University of Denmark
- Free University of Berlin
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Biology Tübingen, Tübingen
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Mathematics in the Sciences
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- University of Greifswald
- 12 more »
- « less
-
Field
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 27 days ago
and free in-house language courses The group language is English, so no German language skills are required – but it is a great opportunity for you to learn German! The historic city of Göttingen
-
The group language is English, so no German language skills are required – but it is a great opportunity for you to learn German! The historic city of Göttingen, located in the heart of Germany, offers great
-
Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
Qualifications and Skills Knowledge of microbial metabolic processes and methods to study them (e.g., tracer-based incubations) and general marine/benthic biogeochemistry Interest and intention to acquire and
-
, particularly in C++ and Python Good communication skills in spoken and written EnglishInterest or prior experience in machine learning techniques is considered an asset. You may expect a multifaceted and
-
or a related discipline A solid background in climate and atmospheric sciences, and extreme weather ideally supported by knowledge of machine learning and time series analysis is of advantage, as is
-
. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
-
that enables you to successfully negotiate with partners and institutions is a requirement You are a team player and like to take responsibility for yourself and others. You enjoy learning from and
-
culturing, integrating multiple automated subsystems with image-based machine learning models. Our objective is to enable robotic decision-making through machine learning, paving the way for a standardized
-
tissue samples, multi-parameter flow cytometry, molecular biology and fluorescence imaging will be preferred. We offer an interdisciplinary research environment that fosters innovation and collaboration
-
cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and