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/biostatistics, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in statistical genomics, machine/deep
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analysis, CRISPR-based epigenetic or genome editing Interest and ideally hands-on experience in bioinformatics analysis of NGS data (ChIP-seq, CUT&Tag, RNA-seq, ATAC-seq) Demonstrated ability in writing
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expertise in bioinformatics. The aim is to identify gene signatures predictive of therapy response and to discover novel therapeutic targets for reprogramming tumor-associated macrophages (TAMs)—immune cells
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physiology models of organs. You will join a vibrant group of interdisciplinary scientists in eg bioinformatics, cell biology, gene editing and material science. Qualifications Applicants should hold (or be
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technologies. Fellowship Competitive international compensation and health insurance Expected activities. Conduct research as part of the project team. Applicant requirements Ph.D. in bioinformatics, proteomics
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and a proficient understanding of next generation sequencing, analysis, and bioinformatics), (3) project management and scientific writing experience, and (4) excellent communication skills and a
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organization in glioblastoma, epigenetics, bioinformatics, and basic cancer biology. We are now looking for an enthusiastic and motivated postdoctoral fellow to join Silvia Remeseiro’s research group to study
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datasets Use cutting-edge bioinformatics software and methods, or develop novel tools when appropriate Design and lead your research project, with sufficient guidance and mentoring. Contribute
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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
research Your profile # Completed university studies (PhD) in a relevant field, such as molecular biology, computational biology, bioinformatics, genetics, computer science, mathematics, or equivalent
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well as complementary biochemistry, molecular biology, and bioinformatics resources. Position Number 4C0483 Department Microbiology & Cell Biology Division College of Agriculture/MAES Appointment Type Research