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hydrogen energy sector. Your Job: Conduct cutting-edge research to develop and validate advanced AI methodologies for the characterization, modeling, and simulation of energy materials. Develop code and
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insights into the sequence encoding of molecular function and its relation to disease as well as epigenetic and 3D genome annotations Develop deep neural nets or classical machine learning models
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 5 days ago
the second year of the position. You have a completed (or are close to completing) university degree (master’s or equivalent) in psychology (e.g., social, developmental), pedagogy, (empirical) criminology
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by the German Federal Ministry of Education and Research and will focus on investigating the impact of harmful algal blooms on the biodiversity of co-occurring marine communities. The biodiversity
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during the master education. Master degree in biochemistry, biotechnology, biophysics or related subjects. Practical experience with FPLC-based protein purification and some techniques involved in
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courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https
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teaching Working hours: full-time (65 %) Published: 06.06.2024 Limitation:Temporary (3 years) Contract:TV-L Your Tasks In a dynamic and multidisciplinary environment, the candidate will work on the
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and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz Association and is located in Müncheberg (approx. 35 minutes by regional train from Berlin-Lichtenberg
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research to develop and validate advanced AI methodologies for the characterization, modeling, and simulation of energy materials. Develop code and utilize frameworks like Django to support the automation
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implementation of the new HClimRep foundation model, Assist the HClimRep team with testing and improving the HClimRep model, Develop a concept of software package of hydrological downscaling based on the HClimRep