219 computational-physics "https:" "https:" "https:" "https:" "Masaryk University Faculty of Science" Fellowship positions at Harvard University
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of research At least one research paper (option to upload up to 3) Contact details of at least two references Candidates may be asked to undergo an assessment as part of the interview process. Special
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the following: Curriculum vitae Statement of research Two representative publications Two letters of recommendation Candidates may be asked to undergo an assessment as part of the interview process. Additional
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What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern
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interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
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is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and
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progress on pressing climate challenges. The candidate will be in close physical proximity to others working on policy-relevant environmental research, including other postdoctoral fellows housed at and near
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, that means some museum and fieldwork!). Comparative analysis using advanced computational tools and wet lab techniques. Hands-on dissections of invertebrates for anatomical and physiological studies. Leading
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of high quality, original, independent research. They will be chosen by the Program Board of the American School of Prehistoric Research. Prior to applying, candidates are encouraged to communicate
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, 2026. Contact Information Sandy Cantave Vil cantave@fas.harvard.edu Program Coordinator Center for Jewish Studies at Harvard University 6 Divinity Ave, Suite 210 Cambridge, MA 02138 (617) 495-4326
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What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern