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                Field
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                interdisciplinary team at the Technische Universität Dresden, focusing on the integration of multi-omics data to better understand, diagnose, and treat metabolic diseases (i.e. obesity, diabetes, metabolic 
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                Chemistry » Solar chemistry Chemistry » Heterogeneous catalysis Engineering » Process engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany Application Deadline 
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                17 Sep 2025 Job Information Organisation/Company Universität Siegen Research Field Computer science » Computer systems Researcher Profile First Stage Researcher (R1) Country Germany Application 
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                New Emmy Noether Group led by Dr. Julian Wolf M.Sc. at the University Eye Center Freiburg is looking as soon as possible for a PostDoc (Bioinformatics or Biology/Biochemistry/Molecular Medicine 
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                Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 month ago) on the project Spectro-Microscopy Studies of Complex Processes in Thermal Catalysis and Electrochemistry for the Spectro-Microscopy group within the Department of Interface Science . The Department of Interface 
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                Assistant (m/w/d), Post-Doc, EG 13 TV-H, fixed term-position, part-time (currently 32 hours per week) Assessment of values-based interventions in transdisciplinary processes for sustainability transformations 
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                : Research Assistant (m/f/d), Post-Doc, EG 13 TV-H, fixed term-position, part-time (currently 32 hours per week) Evaluation of transdisciplinary processes for sustainability transformations Part time position 
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                , bright individuals with a diploma or master’s degree in bioinformatics, biochemistry, biology, molecular/translational medicine or related subjects and a PhD in life and computer sciences. Previous 
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                -edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training 
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                on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training and optimizing the execution User support in