56 computer "https:" "https:" "https:" "https:" "Universidade do Minho" Postdoctoral positions at Technical University of Munich in Germany
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Informatics Initiative (MII)/FHIR standards Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation Independently develop and implement research ideas within
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. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing
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applying computer science methods within the context described above. In particular, you will coordinate the contributions of the professorship to the EU project INTELLIGENT (https://intelligent-project.eu
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for an interdisciplinary “bridge-builder” who strives for Scientific Excellence and Real-World Purpose. ● Background: HCI (Human-Computer Interaction), Computer Science, Ethnography, Sociology, or a related
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office.ethics@mh.tum.de https://get.med.tum.de/ www.tum.de If you apply in writing, we request that you submit only copies of official documents, as we cannot return your materials after completion
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04.02.2026, Academic staff The successful candidates will be part of the Munich Climate Center and the Earth System Modelling group at TUM (https://www.asg.ed.tum.de/esm/home/) and will be closely
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18.09.2024, Academic staff We have several 𝐏𝐡𝐃 & 𝐏𝐨𝐬𝐭𝐃𝐨𝐜 𝐨𝐩𝐞𝐧𝐢𝐧𝐠𝐬 in our Visual Computing & AI Lab in Munich! Topics have a strong focus on GenAI, including 3DGs, NeRFs, Diffusion
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application (motivation letter, CV, certificates, references, and publications) by 13 April 2026 to the following form: https://wkf.ms/4beNUNa Equal opportunity: The Technical University of Munich seeks
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20.01.2026, Academic staff In the framework of the DFG priority program 1374 "Biodiversity Exploratories" We invite application for a (www.biodiversity-exploratories.de) the Arthopods project is
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/264ffa19ca70e3ec41032fe6a4802932b5eda4e6.pdf https://ieeexplore.ieee.org/document/10068193 Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically