19 parallel-processing-bioinformatics Postdoctoral positions in computer-science in Denmark
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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biochemical to molecular biology and bioinformatics approaches. Collaborations with structural biologists are possible. Your profile Applicants should hold a PhD in Molecular Biology, Biochemistry, Cell Biology
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related genome editing approaches to disrupt biological processes that support prostate cancer progression with a focus on metabolism, hormonal and stress response signaling. Preparing samples
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. Omics data handling and basic bioinformatics. Personal qualifications The successful candidate will work across plant physiology, molecular biology and microbiology and collaborate closely with the two
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, chromatin conformation analyses) Experience with computational and bioinformatics pipelines and R for data integration. We offer A position in a focused, externally funded research project at the forefront
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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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the principal SCS crystallographer. Key responsibilities will include outreach, SCXRD data collection, data processing, structure solution, and user support. To make SCS a success, the successful
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. The selection process is entirely focused on scientific merits and strong performance in relevant skills, e.g. research management, funding, dissemination, and collaboration. We are recruiting several
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field of health science within the scope of the Faculty’s research areas. The selection process is entirely focused on scientific merits and strong performance in relevant skills, e.g. research management
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field of health science within the scope of the Faculty’s research areas. The selection process is entirely focused on scientific merits and strong performance in relevant skills, e.g. research management