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for data-efficient exploration and optimization within the process parameter space as well as for adaptive, data-driven machine learning to map the electrolysis process to a digital twin. Data workflows and
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development (e.g. user interfaces and APIs) Background in soil, ecological or environmental science Comfortable with/Accustomed to handling small invertebrates (mites, springtails) Good command of German
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University of Paderborn Position ID: 2640 -POSTDOC [#26648] Position Title: Position Type: Postdoctoral Position Location: Paderborn, Nordrhein-Westfalen 33098, Germany [map ] Subject Area
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85748, Germany [map ] Subject Area: Physics / HEP-Phenomenology (hep-ph) Appl Deadline: 2026/01/31 11:59PM (posted 2024/08/04, listed until 2026/01/31) Position Description: Apply Position Description
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development efforts for ERGOM. The primary objective of this position is to generate high-resolution seagrass distribution maps for the Baltic Sea, achieving a spatial resolution of approximately 1 nautical
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unique three-dimensional maps of neurotransmitter receptor distributions in the human, non-human primate and rodent brain Develop efficient processing pipelines enabling the spatial integration
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Technical University of Munich, Centre for Mathematics Position ID: TUM -NUMMATHPOS [#25991] Position Title: Position Type: Postdoctoral Position Location: Garching, Bayern 85748, Germany [map
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Build large-scale AI to map and monitor plankton biodiversity, ecosystem health and carbon flux, facilitating decision‑making in the face of climate change. Hosted at the Max Delbrück Center
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models using experimental data for precise mapping of real processes Conducting detailed analyses of thermomechanical stresses in electrochemical converters using the finite element method (FEM
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Technical University of Munich, Centre for Mathematics Position ID: TUM -BWNUMMATH [#26301] Position Title: Position Type: Postdoctoral Position Location: Garching, Bayern 85748, Germany [map