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, Professor Position Number 600237 Vacancy Open to All Candidates Department EHH BSOM Physiology Department Homepage https://physiology.ecu.edu/ Advertising Department PHYSIOLOGY Division ECU Health/BSOM
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. This includes the use of Machine Learning (ML) and Artificial Intelligence (AI) methods. Project description The PhD project will be focused on developing, assessing, and comparing traditional and modern ML and
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, the United Kingdom, Germany, Belgium, Ireland, Spain, Norway, and Switzerland. They range from fully experimental to fully computational: Discovery and annotation (DC1 to DC5): machine learning for cross
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-temporal-resolution bulk measurements (XAS, Raman spectroscopy, XRD), with particular emphasis on pair distribution function (PDF) analysis. Machine learning approaches will be used to support these analyses
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doesn't match every listed requirement. #YouBelongHere To learn more about our background check program, please visit: https://hr.ucdavis.edu/departments/recruitment/ucd/selection/background-checks
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an ongoing scientific project with the mentorship of an ambitious team with an open spirit where curiosity, creativity, acquisition of knowledge, and continuous learning are stimulated, working in a
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quantitative field. Good scientific programming skills, particularly in Python, are required. Experience with atmospheric dynamics, numerical modelling, machine learning, or large meteorological datasets would
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ongoing scientific project with the mentorship of an ambitious team with an open spirit where curiosity, creativity, acquisition of knowledge, and continuous learning are stimulated, working in a
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5th November 2026 Languages English English English We're seeking a PhD candidate in Biotechnology to tackle antimicrobial resistance. PhD in Bioinformatics and Machine Learning for Infection and
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the start of the position Have practical experience in machine learning with Python, including training neural networks in PyTorch or a similar framework Have a solid background in signals and systems as