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Field
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models in mice. Experience managing and integrating multi-scale datasets, with knowledge of consortium-based data-sharing protocols and practices. Strong analytical skills for interpreting complex datasets
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related engineering fields. The candidate should have skills and experiences in at least one of the following areas: 1) advanced data analytics for performance prediction and risk analysis of transportation
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training students Maintain analytical equipment Cooperate with other large collaborative projects of the research group Qualification: Required: A diploma and a PhD in microbial natural product chemistry
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of the extracts; LC-MS and bioactivity-guided isolation and structure elucidation of the purified metabolites Supervising and training students Maintain analytical equipment Cooperate with other large collaborative
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of master and PhD students, involvement in teaching and laboratory and academic management and grand application writing. Please also visit: https://neurochem.univie.ac.at/ Your future tasks: Active
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, Learning Analytics, Data Science, Cognitive Science, or a related field, strong scientific profile, with nationally and internationally visible research (shown by relevant publications) in fields highly
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information General interest in space and space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
Posting Information Posting Details Department Lampe Biomedical Engineering - 424601 Posting Open Date 06/25/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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in manufacturing energy use, process systems, or industrial emissions reduction technologies. Possess an excellent quantitative and analytical background acquired through PhD research, which can be
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grid analytics, and scientific imaging. The successful candidate will design and implement sparse algorithms for large-scale scientific and numerical computations. This role offers an exceptional