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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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in combining disciplinary knowledge with skills in biomedical data science. These can be either computer scientists or life scientists who already have a training in bioinformatics and are interested
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glycosylation-dependent physiological processes, e.g. in the context of tumor immune evasion. As part of a newly DFG-funded project and with close supervision and mentoring, the prospective PhD student will
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Biology, Bioinformatics or related field Strong interest in evolutionary processes, genomics, and behavior Prior experience with NGS data, R, another programming language is a plus Experience with
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Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food
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processes. This has created a need to offer doctoral candidates a broad education and experience in both experimental molecular biology and data analysis, with possible specialisations in genomic and
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such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in
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Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food
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and implant models Histology, advanced microscopy, and micro-computed tomography Spatial transcriptomics as well as molecular and bioinformatic analyses The candidate will work in a highly
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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