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a letter from their Department Chair specifying the date of their dissertation defence. Experience A strong background in biostatistics and epidemiology, longitudinal research, and causal analyses is
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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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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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will take part in our teaching activities and that you will report research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in
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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 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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will be required to successfully pass a criminal background check prior to beginning employment. Qualifications -PhD in biostatistics, statistics, data science, or a closely related field. -Demonstrated
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on manuscripts, presentations, and research proposals Required Qualifications: PhD in psychology, neuroscience, biostatistics, computer science, or a related field. Strong interpersonal and technical skills
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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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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