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Field
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, enrichment analyses - biological interpretation of data Your qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq
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biomedical sciences. What You Can Expect: We offer a diverse and stimulating range of tasks in the field of big data analysis, where you will develop and apply advanced computational methods to analyze complex
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, Biological Oceanography, Marine Geology and Marine Observations work on an interdisciplinary basis in a joint research program. The Research Unit Coastal Seas and Society covers a wide spectrum of applied and
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Physical Oceanography and Instrumentation, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations works interdisciplinary within a joint research program. What will be your
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student assistants and contribute to shaping the CRC’s research direction Your Profile PhD in computer science, neuroscience, machine learning, or related field Strong programming skills in Python and
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groups. An excellent communication skill for scientific discussion is indispensable, and proficiency in English is mandatory. Command of German is an advantage, but not a requirement. Full applications
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System (W-0046 | all genders) with the freedom to develop and pursue your own research program within a broad scope. As a successful candidate, you will become an integral part of the Multiscale Cloud
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-Scripting very good knowledge in programming, preferably in Python,Fortran, Matlab or R experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory capability to work in
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with electrocatalytic experiments and ability to independently carry out electrochemical investigations is mandatory. Good language and communication skills in English are needed. Basic programming
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-Doctoral Researcher in Theoretical or Experimental Pragmatics / Cognitive Science (m/f/d, E13 TV-L, 100%) The position will be filled for a fixed term until June 2029. Payment is at 100% of full time E13