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Ref.: 533297 Work type: Full-time Department: Department of Earth and Planetary Sciences (25300) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications are invited
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ExperienceNone Additional Information Eligibility criteria Python programming. Analysis and development of ML and DL models using standard data science libraries. Data engineering from molecular dynamics
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of the scientific community. In addition, you have: A PhD in marine biology, molecular ecology, bioinformatics, or a related field. Experience in eDNA library preparation and high-throughput sequencing workflows
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looking for candidates with a doctoral degree that is three years old at the most (excluding deductible time such as sick or parental leave). The applicant must have a PhD degree when taking up the position
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Required Qualifications: PhD in Neuroscience, Bioengineering, Electric Engineering, Computer Science, Physics, or a related field Strong quantitative and analytical skills Experience in either experimental
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
. The candidate will have the opportunity to work extensively on Rubin Observatory LSST data within the Transients and Variable Stars Science Collaboration Minimum Education and Experience Requirements A PhD in
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2 Oct 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Physics Environmental science Geosciences Researcher Profile Recognised Researcher (R2) Established
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, computational physics, computational materials science, inverse problems, signal processing, x-ray science etc. are encouraged to apply. Position Requirements PhD completed in the past 5 years or soon to be
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manipulations, molecular biology, and behavioral analysis. Data Analysis Uses genetic models, imaging, electrophysiology, in vivo manipulations, molecular biology, and behavioral analysis to answer the research
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computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch