518 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD research jobs
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Candidates Department EHH BSOM Pharmacology Department Homepage https://pharmacology-toxicology.ecu.edu/ Advertising Department PHARMACOLOGY &TOXICOLOGY Division ECU Health/BSOM Classification Title Research
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application is available at: https://utah.peopleadmin.com/postings/191643 For additional information, please contact Bernadette Kiraly, MD at: bernadette.kiraly@hsc.utah.edu The Department of Family and
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Science, or a closely related field Prior coursework and working experience in data science, machine learning, statistics, or related areas Proficiency in Python for data analysis and modeling, machine learning
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emphasis on developing the payload for the ESTCube-LuNa mission. Building on previous demonstrations such as ESTCube-1, ESTCube-2, and Foresail-1p, the project aims to apply lessons learned to create a more
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website: https://glykys.lab.uiowa.edu Position Responsibilities Record, plot, analyze and interpret data independently using electrophysiological and imaging techniques, including two-photon and whole-brain
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DEPARTMENT The Department of Electrical and Computer Engineering at UTEP (http://ece.utep.edu) offers Bachelor of Science (B.S.) and Master of Science (M.S.) degrees in Electrical Engineering and in Computer
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doctoral degree in Computer Science or Biomedical Informatics or a closely related quantitative field. The successful candidate demonstrates documented expertise in machine learning and distributed
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within the project AI4TECS Writing a doctoral dissertation in computer science Publishing research findings in leading international conferences and high‑impact journals in AI, machine learning, and
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contact their preferred faculty member to request availability and acceptance into a lab. A list of the faculty with their research areas and contact info is here: https://physics.oregonstate.edu/physics
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, development, and evaluation of Machine Learning and Deep Learning methods Prototype development Literature review Publication and presentation of scientific results in international conferences and related