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responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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requires a minimum of 4 years training as a PhD graduate student in biology, nutrition, animal or biomedical related field. Job Skill Requirements Work requires skills in food technologies, nutrition, with
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University is seeking a Postdoctoral Researcher to work on projects related to digital holography and optical coherence tomography. Candidates should have a PhD in electrical or biomedical engineering or
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, United States of America [map ] Subject Areas: Biological Sciences Biostatistics Health Informatics or Bioinformatics Public Health Epidemiology (more...) Climate Science Environmental Analysis Appl Deadline: (posted 2026
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leading to a PhD, MD, or equivalent degree, excellent oral and written communication skills, hands-on experience in mouse metabolic physiology, demonstrated expertise in cell and molecular biology, and a
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skills are expected. This position requires a PhD. To apply, candidates should submit a cover letter, curriculum vitae, and contact information for three references to Professor Tai-ping Sun, email address
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committed to the career development of his lab members. This position requires a minimum degree of a PhD. Prospective candidates should submit a cover letter describing their research experience, scientific
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for genome and epigenome editing tools. This will require expertise in molecular and cellular biology, molecular engineering, genetic manipulation, and bioinformatics. Your primary focus will be using
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and social data. Minimum Requirements: A PhD degree is required. Preferred Qualifications: Experience with large-scale or high-dimensional datasets (e.g., cohort, registry, or omics data) Familiarity