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track record of collecting data on animalbehaviour. Experience of statistical analysis. Evidence of publication record commensurate with stage of career. The ability to work closely with animals and
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mentor PhD students and junior researchers working on the project; assist with administrative responsibilities related to the project, including the organization of workshops, writing deliverables, data
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have a PhD in physics, biology, or a related field by the time of appointment. The ideal candidate will also have demonstrated experience in machine learning and biological data analysis and a strong
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information for two reference persons. One of these must be the main advisor from the PhD programme. CV Transcripts and diplomas and official confirmation that the doctoral thesis has been submitted. Relevant
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rigor and reproducibility. Perform and oversee advanced data analysis, translating complex biological data into meaningful insights that support innovation and application. Contribute hands
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. Mentor junior researchers and assist in training lab members in experimental techniques and data analysis. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as neuroscience, molecular biology
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artificial intelligence in a collaboration between Geology and Sustainable Mining Institute (UM6P, Morocco), and Mineral-X (Stanford University, USA). Qualifications PhD in process mineralogy, mineral
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Theory, and Algebra. Applied Math: Differential Equations, Numerical Analysis, and Data Science. Strong candidates from all backgrounds in mathematics will be given full consideration. Candidates should
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, mass spec, etc.). Basic skills in communication, word processing, database searching, data entry, and data analysis (e.g., ChemDraw, Reaxys, SciFinder, Microsoft Office 365 including Word, Excel, and
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and further contributes to the group’s research priority in model-based policy analysis for sustainable development. Qualifications and personal qualities: Applicants must hold a Norwegian PhD or an