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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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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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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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Establish predictive pipeline for transfer learning and drug target discovery Apply models on pathogen and immunological datasets Provide bioinformatics support to other BNITM groups Contribute to teaching
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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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the field of artificial intelligence with a particular focus on Public Health, e. g.: independent work on an exciting research project at the interface of AI, medicine and bioinformatics, e. g.: further
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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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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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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