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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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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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, 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
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on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains Master’s degree in computational biology, bioinformatics, systems
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using quantitative and bioinformatic approaches to define genotype–phenotype correlations Characterisation of axonemal protein composition, ultrastructure, and motility defects of flagellar/ciliary
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Profile Completed Master’s degree in Biology, Biotechnology, Bioinformatics, Immunology, or a related field Strong interest in computational science and AI (prior formal training is not required, but a
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or similar) Strong interest in human genetics, bioinformatics, research and development in a translational setting Previous experience in molecular biology techniques (such as PCR, sequencing, cell
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, Molecular Biology, Biomedicine, (Bio-) Chemistry or similar) Strong interest in human genetics, microscopy and imaging analysis, and bioinformatics Previous experience with molecular biology techniques