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Field
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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investigator, other postdocs, PhD students, and external collaborators to advance research objectives and generate high-impact results. In addition to research, some participation in supervision of doctoral
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. The ideal candidate holds a PhD in transport, operations research, civil engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in
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Biology, Environmental Sciences, Agricultural Engineering, Forestry Engineering, or related disciplines associated with ecology, biodiversity, agronomy, or natural resource management. 2. PhD in Ecology
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system integration A record of peer-reviewed publications Experience with AI/ML-based control, such as reinforcement learning, learned or model-predictive control, or vision-guided manipulation Experience
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other biomedical applications. Applicants must have a PhD degree (or equivalent) in Polymer Science, Chemistry, Biochemistry, Pharmacy, or similar, with a strong background in the synthesis of functional
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workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in
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sciencesEducation LevelPhD or equivalent Skills/Qualifications Required qualifications: BSc, MSc and PhD in Biology, Life Sciences, Chemistry or relevant topics Excellent oral and written skills in
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related to sensor development and technology transfer About you: Completed academic education including a PhD in Physics or a related field, or equivalent qualifications and experience Extensive hands
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postgraduate students where appropriate. About you You will have: A PhD in Structural Engineering or a closely related discipline. Experience in structural engineering research, ideally including reinforced