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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
excellent study management and analytic skills who are interested in the role of peers, social media, and the developing brain. We collect data using diverse methods, including longitudinal fMRI and fNIRS
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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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the following requirements: A PhD degree in Chemical Engineering, electrochemistry, or related fields. Solid knowledge and demonstrated skills in one of the following areas: coordination chemistry
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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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Centre at University College Cork. The ideal candidate should be a quantitative, analytical researcher with a PhD in engineering, science, or economics, or a field related to energy, and a demonstrated
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has unparalleled expertise in basic, translational and clinical research in: analytical and forensic science; asthma and allergy; biophysics and cell biology; cancer; cardiovascular; nutrition and
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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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addition, you should meet the following requirements: Hold a PhD degree in biology, ecology, analytical chemistry or equivalent Educational and professional qualifications relating to the scientific area of
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for this project The selected candidate must have: A PhD in Chemistry, Physics, or other fields deemed relevant to the project, with experience in at least one of the analytical techniques described in the project
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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