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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new understanding, capabilities and innovation, while inspiring and providing broad training to the next...
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systems. Responsibilities and qualifications You will be responsible for mathematical modelling of dyadic and group interaction data (e.g., using coupled oscillator models), working with movement
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) mathematics, physics, or a related STEM fields. Job Description: The Division of Biomedical Informatics and Data Science (BIDS) within the Department of Health Outcomes and Biomedical Informatics (HOBI
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Pennsylvania State University, Department of Mathematics Position ID: PennState -POSTDOC2 [#26034, REQ_0000062800] Position Title: Position Location: University Park, Pennsylvania 16802
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of multi-species communities using theoretical modeling approaches. The candidate will focus on developing a mathematical model (e.g., preferably individual-based models) from basic equations to investigate
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The Opportunity (Job description): The Mathematics Department at the University of Central Florida is seeking to fill two postdoctoral positions, each for a two-year term with renewal for the second
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health To be eligible, candidates must: Have received a PhD in computer science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine
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Peking University, Beijing International Center for Mathematical Research Position ID: PKU -POSTDOC5 [#25703] Position Title: Position Type: Postdoctoral Position Location: Beijing, Beijing, China
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base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will
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science, information science, data science, (bio)-statistics, (applied) mathematics, physics, or a related STEM fields. Strong programming and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep