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biostatistics, bioinformatics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and statistics / machine learning is required Previous work and
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application. Qualifications and specific competences Applicants must hold a relevant Master’s degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field and
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biology and crosstalk with immune and cancer cells Aplication of state-of-the-art cell biology, molecular biology, and OMICs analyses Use of bioinformatic analyses and data integration Your skills: Master
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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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Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc. or Diploma in bioinformatics or a comparable qualification Extensive programming
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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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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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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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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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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