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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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microtome Performance of functional assays and microscopic analyses for computer-assisted modeling of liver and heart metabolism Knowledge of pluripotent stem cell cultivation is desirable In
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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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scenarios and analyse their data to validate the coupled biogeodynamic model. to interact with members of the biogeodynamics modelling group and program area 4 at regular meetings as well as with others from
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networks of functional gene and protein regulation (https://www.ipb-halle.de ). The position is located in the department BPI (Biochemistry of Plant Interactions) and the Program Center for Plant
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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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a methodological focus on applied microeconomic theory, numerical simulations or empirical methods Good understanding of one or more of the following topics: electricity markets, industry
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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at internal and external meetings. Successful applicants: had a completed university degree (e.g. master, diploma) in biology, neurobiology, biophysics, physics or engineering and already hold or will complete
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of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de for further