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Robot Learning (ID: TUEILSY-POSTDOC20251219-RL) Robots that learn from data promise greater autonomy and performance, but their deployment in the real world hinges on the ability to guarantee safety
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and conducting psychological experiments, with a strong focus on the collection, analysis, and interpretation of neuroimaging data using EEG, fMRI, and combined EEG–fMRI techniques. Your Qualifications
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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, including quantitative, qualitative, and experimental approaches. Ideally, experience with Python, Stata, or R. • demonstrates proficiency in data collection, processing, and analysis, preferably using
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). The institute also maintains locations in Dedelow and Paulinenaue. The position will be based in the Research Platform “Data Analysis and Simulation „within the Working Group “Ecosystem Modelling“ under
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. For further information, please contact Felix Kling (flxkling@gmail.com). Application Materials Required: Further Info:
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. Further information can be accessed by visiting our webpage at www.csbdresden.de Fellows have full access to state-of-the-art research facilities and infrastructure on the campus. Dresden is a vivid and
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of Antarctic Marine Living Resources (CCAMLR), which aims to manage the fishery sustainably through ecosystem-based approaches that incorporate data on predator populations, ecosystem state, and krill abundance
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20 Jan 2026 Job Information Organisation/Company Deutsches Krebsforschungszentrum Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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the legitimacy of algorithmic governance in the context of migration policy. The project team collects quantitative and qualitative data to study how people use heuristics to judge legitimacy of algorithmic