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Optimization (DPO) and reinforcement learning from human feedback, building preference datasets together with clinicians - Build and run a Red Team process with physicians, computer scientists, and patient
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process includes the evaluation of existing systems, extensive simulation-based analyses, as well as the implementation and validation of algorithm and system designs in real world settings. Your tasks: You
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29.12.2020, Academic staff The interdisciplinary research center TranslaTUM at the Technical University of Munich in Germany is looking for a Postdoc/PhD in single-cell Bioinformatics Single-cell
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Bayesian optimization and other active learning techniques to guide experimental efforts by identifying optimal chemical compositions and processing conditions of membranes that maximize both selectivity and
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on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have
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(especially LLMs / VLMs) Human-AI Interaction Or Bring-your-Own research topic Who We Are Looking For: We seek highly motivated and talented individuals passionate about AI, Human-Computer Interaction, Eye
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Practical experience in a relevant field is an advantage What we offer Our doctoral study process (see www.msl.mgt.tum.de/simanagement) has a clear structure that ensures doctoral candidates can graduate
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disabilities will be given preference. We regret that we are unable to reimburse any travel expenses associated with the interview process. We look forward to your application! The position is suitable
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Protection Regulation (GDPR) regarding the collection and processing of personal data in connection with your application. By submitting your application, you confirm that you have read and understood TUM's
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chaperones and the question how membrane protein chaperones recognize and process clients on a molecular level. The project has the potential to provide exciting new insights in the molecular biology of cells