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and scalable. Design and build a technology demonstrator prototype of clinical-testing grade. Collaborate with interdisciplinary teams, including clinicians, engineers, and machine learning (ML) and
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Anesthesiology Programs(see website: http://www.barry.edu/about/mission/ Teach anesthesia principles and basic sciences in didactic, simulation, and clinical settings and advise students in the doctoral nurse
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/02/03 11:59PM ** (posted 2025/12/11, listed until 2026/02/03) Description: Apply Description Call for Applications: Humanities Scholars Program Postdoctoral Associates Open to Cornell PhD Candidates
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multidisciplinary team spanning hydrology, machine learning, ecological flows, and water resources management.The selected candidate will join the IberianCAMELS research team as a Predoctoral Researcher, contributing
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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work with the UK semiconductor industry. The studentship represent a unique opportunity to be trained in the epitaxy process and to work in an emerging and exciting area of combining AI/machine learning
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17 Dec 2025 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering Researcher Profile Other Profession Positions PhD Positions
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, econometrics, machine learning, extensive data analytics and qualitative research methods. The student will collaborate closely with advisors to identify, develop, and carry out their research project. The PhD
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22 Dec 2025 Job Information Organisation/Company Universitat de les Illes Balears Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 4 days ago
or territorial studies. Preference will be given to candidates with aptitude for working in disaster risk management environments supported with GIS and Machine Learning, basic programming skills (e.g., Python, R