Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Forschungszentrum Jülich
- DAAD
- Leibniz
- Heidelberg University
- ; Technical University of Denmark
- Max Planck Institute for Biology Tübingen, Tübingen
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Technical University of Munich
- Technische Universität München
- University of Tübingen
- 1 more »
- « less
-
Field
-
and their microenvironment, with a focus on immune cells, stromal components, and their metabolic communication. One central aim is to identify novel therapeu-tic targets for next-generation immune and
-
-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group Microbiome Dynamics (https://www.leibniz-hki.de/de/microbiome-dynamics.html ) invites
-
-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The junior research group (Epi-)Genetic Regulation of Fungal Virulence (https://www.leibniz-hki.de/en/epi
-
Saves user settings when retrieving integrated YouTube videos. Lifetime Browser session Google Name ANID Use Used for targeting purposes to profile the interests of website visitors in order to display
-
PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
, essential for the survival of many species’ that depend on it. This ecologically critical species is also the target species of the largest and fastest growing fishery in the Southern Ocean, regulated by
-
-forming benefits and an employee pension scheme Targeted services for international employees, e.g. through our International Advisory Service In addition to exciting tasks and a collaborative working
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
-
Service with targeted offers for your personal development to further develop your talents Contact: Prof. Dr. Christian Karger Phone: +49 6221 42-2596 The position is limited to 2 years due to the duration
-
development. Experience with implementing statistical learning or machine learning (e.g. Bayesian inference, deep-learning). Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro
-
corporate policy Flexible work (location) arrangements, e.g. remote work Targeted services for international employees, e.g. through our International Advisory Service In addition to exciting tasks and a