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Field
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD, MD, or MD/PhD. Doctorate-level degree (or foreign equivalent) in a field relevant to human brain imaging
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: Essential criteria PhD in relevant subject area * Experience in HIV-1 infection studies, molecular biology, biochemistry, electron microscopy & structural biology Evidence of 4* research outputs or potential
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molecular properties for comparison with experimental results. Requirements: Completed university degree (M.Sc or Diploma degree) in Chemistry or a closely relatet field and PhD / Doctoral degree in Chemistry
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; contribute to the mentoring of trainees within the lab; publish peer reviewed manuscripts and contribute to funding proposals. Educational Requirements • PhD in Chemistry, Bioinformatics, Computational Biology
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Fellows. Successful candidates will be recent PhD graduates with high levels of energy and curiosity, and who are interested in making fundamental discoveries in understanding the molecular biology of brain
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procedures. Coordinate and manage tasks and timelines associated with research. Write and review manuscripts, abstracts, and reports related to research projects. Develop computer vision technology to monitor
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and data acquisition. Collaborate with EXIT071 to advance dzITP technology for diagnostic and drug discovery applications. Optionally mentor or collaborate with MSc and PhD students involved in
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Okinawa Institute of Science and Technology, Pure Mathematics Position ID: OIST -PDLS2026 [#26851] Position Title: Position Type: Postdoctoral Position Location: Okinawa, Japan [map ] Subject
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
molecular biology in a collaborative, multidisciplinary environment. Minimum Education and Experience Requirements PhD, MD or equivalent degree in related field. Required Qualifications, Competencies, and
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qualities You hold either PhD in deep learning techniques and an interest in climate science, or a PhD in Meteorology or Climate Science having clear experience with deep learning techniques. You possess