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, and achievements, and engage within and beyond the department on new potential collaborations. Position Requirements Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related
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dissertation chair confirming you will complete it before Sep 1st , 2026. Please upload verification as an additional document in the document upload section. 2. Earned PhD or equivalent in statistics
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monitoring and Fault Detection, Isolation, and Recovery (FDIR) for space-borne and robotic systems. The candidate will carry a leading role in this area and support PhD candidates in their thesis research
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cutting-edge laboratory automation in a highly collaborative research environment. About you You will have a PhD (or equivalent) in a relevant area or field related to this project (Computer Science
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availability of funding. The anticipated start date for the position is June 1, 2025. Individuals with a strong theoretical background who expect to obtain a PhD in a related field (e.g., statistics
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Incurvati, and will collaborate with him and the other team members. In addition to the PI and yourself, the research team will include a postdoc working on propositions, a PhD student working on properties
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him and the other team members. In addition to the PI and yourself, the research team will include a postdoc working on provability, a PhD student working on properties, and a PhD student working on
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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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for future career development in both academia and tech. Profile Required: PhD in ML, computational neuroscience, physics, engineering, or related field Strong experience in machine learning (PyTorch
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and collaborative environments. Required Education: PhD from an accredited college or university in Educational Technology, Learning Technologies, Human-Computer Interaction, or a related field