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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student within the field
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medicine and bioinformatics through innovative data integration, visualisation, and advanced analytics. Our research integrates bioinformatics, data science, and IT solutions to advance digital health and
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on healthcare, research, and teaching, we bear a unique responsibility – ideally with you on board! The position is based at the Institute of Medical Informatics within the bioinformatics service unit of the
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-Holstein (UKSH), is seeking a PhD student with a strong background in statistics, machine learning (ML)/artificial intelligence (AI), or bioinformatics. Our group develops novel computational and statistical
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Cancer Centre in Toronto, Canada. All research groups are internationally leading experts in immunology, cancer, and bioinformatics. The project aims to explore how antiviral defense pathways can be
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Students (f/m/x) Research Focus IMPRS-GS: Projects span experimental (genomics, transcriptomics, proteomics, etc.) and theoretical (bioinformatics, computational biology, etc.) disciplines. GönomiX: Focuses
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sciences or similar Strong interest in single-cell nucleus RNA-seq techniques / Perturb-Seq / Crop-Seq Willingness to learn computational biology/bioinformatics High motivation for scientific work and
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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Practical experience in proteomics and interactomics is a plus Practical experience in ribosome biology is a plus Experience in bioinformatics/computational biology is a plus Practical experience of protein
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, Biochemistry, Chemistry, Bioinformatics, Physics, Pharmacy etc. and an ambitious and innovative mindset as well as excellent written and oral communication skills in English. We offer: A funded PhD position