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/ Tübingen, the MPI for Informatics in Saarbrücken or the ELLIS Institute Tübingen. Each CLS fellow has a primary location (chosen based on interests and match) and conducts a mandatory 12-month exchange at
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to match both profiles. Project background Our research uses computational methods to study legal, economic, and social-science questions at scale. Many of our projects focus on innovation, competition
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modeling skills: optimization, mechanism design, etc Have excellent verbal and written communication skills Have industrial experience in AI deployment is a plus Workplace Workplace We offer The starting
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We are seeking an exceptional and highly motivated Postdoctoral Researcher to lead research on multimodal reasoning models for oncology. The project focuses on developing, post-training, and
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, movement classification, outcome modelling in stroke populations, and synthetic data evaluation. The position offers the opportunity to advance and deploy scalable biomechanical assessment systems in
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-mentored by two ETH professors from two different departments. Project background You are a great fit if you’re excited to: (a) frame a clear AEC challenge, (b) pick the right tools (not all of them), and (c
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Computer Science, Electrical Engineering, Robotics, or related field You bring: A strong foundation in machine learning, including classification and regression, model evaluation, representation learning, and
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, policy-relevant research Have excellent quantitative skills: statistics, optimization, stochastic modeling, etc Have excellent verbal and written communication skills Have experience in working on real A/B
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delays) and capacity (amount of services run) and attract more travellers to match the ambitious targets from policy and environmental goals. One key aspect of traditional railway transport systems is
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delays) and capacity (amount of services run) and attract more travellers to match the ambitious targets from policy and environmental goals. One key aspect of traditional railway transport systems is