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technologies. Authorship on high-profile publications resulting from this work is expected. The postdoc will work directly with Dr. Spencer on a day-to-day basis, allowing for close mentorship to promote career
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position as Researcher or Postdoc in immunology, based at the Department of Immunology and Transfusion medicine, Institute of Clinical Medicine. The research aim for the position is related to preclinical
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Engineering and production optimization Documented mathematical, analytical and problem-solving skills. Good knowledge of statistics, AI/ML, and mathematical modeling and programming. Good knowledge in academic
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The University of Nevada, Las Vegas invites applications for Postdoctoral Scholar of Next Generation Sequencing (NGS) [R0145136]. We are seeking a motivated postdoc to join the Zhivagui Lab. Our lab
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analyses, including, but not limited to, structural equation modeling, multilevel modeling, longitudinal analysis, and other advanced statistical approaches relevant to population health and health
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Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 14 Aug 2026 - 23:59 (Europe/Prague) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | 2 months ago
prestigious institutes. To ensure the success of career development of postdoc, Dr. Zhou will tailor the postdoc trainings to meet the career goals of the selected candidate. REQUIRED QUALIFICATIONS: •Ph.D
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for extension and/or if additional funding is secured to extend employment. Required Qualifications: Ph.D. in plant breeding, bioinformatics, quantitative/statistical/population genetics, or a related discipline
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dissolution behaviour Analyse time-resolved experimental data using statistical and machine-learning approaches, and validate predictive models using independent experiments Design and conduct controlled
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-cell RNA-seq) Preferred Qualifications Background in statistical or population genetics, including variant annotation and prioritization Experience with single-cell or spatial transcriptomics Familiarity