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/or quantitative methods expertise. Experience with implementation science. Experience using statistical or qualitative software. Other Requirements: Full-time, one-year fellowship (renewable based
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. Position Requirements A formal education in materials science and engineering, nuclear engineering, or a related field at the PhD level with zero to five years of employment experience. Knowledge of metallic
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publications and project reports. Your profile We are looking for a highly motivated candidate with a strong publication record and the following qualifications: PhD degree in molecular biology, biochemistry
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completion of a PhD or for someone entering a new area for the first time. If you have already completed your PD1 stage in UCD or will soon complete a PD1, or you are an external applicant whose total
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 4 days ago
PhD in psychology, cognitive neuroscience, neuroscience, or a related field Passion for neuroimaging and neuropsychology, and a genuine interest in the neural basis
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to join as soon as possible. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical
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Dr. Playdon’s research, visit her faculty profile https://profiles.faculty.utah.edu/u6017378 . Details about the NIH-funded project (1R01CA313949) can be found on NIH RePORTER: https://reporter.nih.gov
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researchers to join as soon as possible. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical
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al. Nature Genetics 2020, Costea et al. and Schoeberl et al., Mol Cell 2023, Mol Cell 2025). For a list of ongoing projects and publications, please visit: https://www.kcl.ac.uk/research/pavri-group
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer Science