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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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. To test this, we will perform high resolution spatial transcriptomics and proteomics analyses in unique nerve biopsies and iPSC-motor neurons derived from YARS1-CMT patients. Multimodal bioinformatics
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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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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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molecular approaches to quantify gene distribution and expression (e.g. Real-Time PCR and transcriptomics). Candidates with a solid background in bioinformatics and experimental work with viruses
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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