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Field
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Cell Biology, Biotechnology, Biochemistry, or a closely related discipline. Candidates with experience in bioinformatics and omics data analysis are encouraged to apply. Required Related Experience
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Association and is publicly funded by the Federal Republic of Germany and its federal states. We invite applications for the Research Group Multidimensional Omics Data Analysis: PhD Candidate (m/f/d) You will
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 3 months ago
Student in Cancer Biology and/or Bioinformatics Reference number: 2026-0129 We study the molecular basis of cancer through an integrated approach spanning genomics, molecular biology and computational
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. We invite applications
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Research Associate in Mechanistic Functional Genomics We are seeking to appoint a Research Associate in Mechanistic Functional Genomics to join the Gustavsson Group at the UK Dementia Research
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mitigate age-associated changes in immune function and cognition. Using state-of-the-art technologies and high-dimensional data analysis, this PhD will explore the complex interplay between the gut, immune
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We are seeking to appoint a Research Associate in computational genomics and long-read transcriptomics to join the Gustavsson Group at the UK Dementia Research Institute at the University of
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden W rttemberg | Germany | 2 months ago
hotspots and their association with transcription, replication dynamics, and RNA:DNA hybrid formation. Goals of the PhD Project Map and classify RS-mediated and naturally occurring DSBs in distinct cancer
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) Characterization of Burkholderia glumae isolates collected throughout the Mekong Delta; (ii) Identification of beneficial microorganisms and microbiome signatures associated with healthy rice fields using high
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, bioinformatics, pathogen genomics, epidemiology, public health, and software infrastructure. The project will also interact with GPAP collaborators at DTU, Statens Serum Institut, Imperial College London, and