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program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas
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months Requirements: Bachelor’s or Master’s degree in biology, molecular biology, bioinformatics or in related sciences; no previous PhD Candidates can hold any nationality but must have spent not
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value estimation, phenotyping of novel traits in various species, and bioinformatics. Employer Wageningen Livestock Research (WLR) explores the role of animals in the food system; and strives to improve
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farmers. Its research focuses on areas such as cryo-conservation of genetic material, big data analytics, breeding value estimation, phenotyping of novel traits in various species, and bioinformatics
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to training courses, seminars, and mentoring opportunities. You will also work closely with Dr Ellen McDonagh's team at Open Targets / European Bioinformatics Institute. You should have strong organisational
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 2 months ago
.Eligibility requirements: The candidate must hold a PhD in Molecular Biology, Microbiology or related areas; Demonstrated experience in nanopore sequencing (from DNA extraction to bioinformatic analysis
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The Department of Biostatistics & Bioinformatics at Duke University invite applications for a postdoctoral associate position in mathematical modeling, as part of a new NIH-funded Center for Excellence in
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adipocytes to brown adipocytes A minimum commitment of 5.5 working days per week is required Requirements A Ph.D. degree, preferably in Biology, Biomedical Sciences, Multi-omics, or Bioinformatics A strong
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured