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Field
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candidate who: Holds a PhD relevant to the academic areas of the Department of Management Has profound knowledge of Stata and fixed effects regression Has knowledge of Denmark Statistics data structures Is
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will develop new ways to interrogate a recently generated transcriptomic dataset and to model the cell neighbourhoods. You will hold (or soon to be awarded) a PhD in Quantitative Biology. A proficient
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/talentmonitor/ ) by using microdata from Statistics Netherlands. Analysing results in terms of recruiting, educating, developing and tying talent to the region. Identify, analyze and contribute to policy relevant
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, you will hold a PhD/DPhil (or be close to completion) in a relevant field such as statistics, biostatistics, infectious disease epidemiology, epidemic modelling. You will have research experience in
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, you will hold a PhD/DPhil (or be close to completion) in a relevant field such as statistics, biostatistics, infectious disease epidemiology, epidemic modelling. You will have research experience in
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fellow. Highly motivated individuals with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing
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collaborations across the University, and supervise research students. The successful applicant will also have the opportunity to conduct a small amount of teaching at the Department of Statistics in their areas
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for presenting your work at international conferences and workshops. The successful candidate should hold, or be close to completion of, a PhD/DPhil in a quantitative discipline, for example statistics
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to: Vladimir S. Spiegelman, MD, PhD E-mail: [email protected] This is a limited-term appointment funded for one year from date of hire. Employment will require successful completion
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Yale University- Department of Internal Medicine, Infectious Diseases | New Haven, Connecticut | United States | 3 days ago
, particularly HIV, is a plus; Basic statistical knowledge is highly desirable; Excellent oral communication and written skills in English, with good organizational and analytical abilities. Candidates should have