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: Biostatistics Appl Deadline: (posted 2025/02/21, listed until 2025/08/21) Position Description: Apply Position Description Position Information. One-year, renewable post-doctoral position to work in the areas
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. The position is open to applicants with a PhD in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or related fields. The appointment is a fulltime position and is made
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for various omics data, including microbiome, genetics, genomics, and metabolomics data. The position is for a two-year appointment. Applicants must hold a PhD in Statistics, Biostatistics, Bioinformatics
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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related training and interests. ● PhD or equivalent doctoral degree in statistics, biostatistics, epidemiology, public health, ecology, quantitative biology, or any other related fields with strong
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reactors), biostatistical analysis and molecular biology is highly required. Key responsibilities The candidate will be expected to: Plan and conduct research as part of the research team and contribute in
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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
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? For preliminary inquiries, you may send your CV to tchekouo@umn.edu Qualifications Required Qualifications: PhD degree in biostatistics, statistics, or a related field Strong computing/programming and communication
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students within Dr. Donneyongs research lab. Required Qualifications: A doctoral degree (PhD, ScD) in Pharmacoepidemiology, Epidemiology, Health Economics, Health Services Research, Statistics/Biostatistics
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manuscripts Preparation of grant applications Providing guidance to junior researchers Your profile: A PhD degree (or comparable) and a strong background in biostatistics, epidemiology, biology, medicine