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Field
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research, data science, cognitive science, or related disciplines who are eager to engage deeply in the Institute’s research activities in empirical education. We especially welcome applications from
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content BIGS-OAS investigates the cultures and societies of Asia and the Middle East in change through time and the
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journals and edited volumes, and present your work at international conferences. Collaborate with our digital humanities team to engage actively in the development and data curation for the "OMnibus of
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public debates and information/service – we contribute to maintaining and increasing sustainable economic prosperity and social participation under constantly changing conditions. Do you want to know more
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computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging
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foundations of ML · Explainability, trustworthiness, and robustness of ML · Deep learning architectures and Generative AI · Big data and cloud-based systems · Human-centered data analytics and data
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personnel management of a large area of responsibility. The requirements for appointment are a university degree in medicine, recognition as a specialist in the field of orthopaedics and trauma surgery
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05.05.2025, Wissenschaftliches Personal At the chair of Data Analytics and Machine Learning at the Technical University of Munich (TUM), a full position will be available from May 2025 in
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
ecosystems. Your Profile A PhD in marine biology, conservation biology, fishery management & conservation, or related fields A strong background in handling large data sets, programming (preferably in R
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. This requires the coherent integration of big data, which can be highly heterogeneous and discontinuous in tropical contexts. A particular accent is put on image analysis from proximal and distal sensing, i.e