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, and contribute to science communication and our open-source tools Your Profile Master and/or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, or a closely related field
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, engineering, computing, and environmental sciences to address complex scientific challenges and accelerate the translation of discoveries into real‑world solutions. As a Postdoctoral Research Associate, you
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. Essential qualifications PhD in computational statistics, bioinformatics, systems biology, or a related field. Strong expertise in statistical methods, including machine learning approaches, for analysis
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sequencing, bulk RNA-seq, and single-nucleus RNA/ATAC using R, python, command line interface and high-performance computing clusters Thorough documentation and communication of experiments and findings with
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Oct 2026 - 21:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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the opportunity to contribute to an internationally competitive research programme at the interface of proteomics technology development, regulatory protein biology, and cancer research. Expected start date and
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Fellow with a PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, or a related quantitative field to join an interdisciplinary research program focused on Alzheimer’s disease (AD
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zoonotic spillover by changing human and wildlife movement, stress, and behavior). This position requires a PhD in ecology, disease ecology, epidemiology, or related fields and the successful applicant must
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training in genomics and computational approaches. Education and Experience Applicants should hold a PhD in neuroscience, genetics, psychology, biology, or a related field, with demonstrated expertise in
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College of Agriculture and Life Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program