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mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners are further developed in different areas, which open up numerous opportunities
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Classification Title: Post Doc Associate Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science or a related field. Working experience with large language models
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Max Planck Institute for Plant Breeding Research • | Koln, Nordrhein Westfalen | Germany | 2 months ago
sciences with expertise in molecular plant genetics, plant biochemistry, cell biology, bioinformatics, and mathematical modelling of biological processes. Details can be found at: http://www.mpipz.mpg.de
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; improved measurement techniques that ideally push resolution limits to the single molecule level; statistical methods to deal with high-dimensional, often noisy, data sets; and mathematical modelling
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-BAC is committed to creating a sense of community among its doctoral candidates and strives to ensure good social integration for all, with particular attention to international doctoral candidates
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instruments, data analysis as well as theoretical and numerical modelling provide excellent research opportunities for PhD students. Solar system science research subjects include cosmochemistry, small bodies
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data, and apply the computational methods to understand biomedical problems like tumor microenvironment, immunology, and aging. The individual will work with Dr. Yi Zhang (https://yi-zhang-compbio
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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 2 months ago
bioinformatics and modelling. We work with Arabidopsis thaliana, tobacco, tomato, Lotus japonicus, rice and other model plants, and make use of genetic diversity by studying natural accessions, closely related
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laboratory work, doctoral students must attend several compulsory courses over a three-year period. These include: the Progress Report, Journal Club, and Good Scientific Practice seminars 30 optional lectures
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-biological models for an understanding of interactive networks in multi-partner and multi-level consortia. Continuous exchange of knowledge with the industrial partners facilitates a swift transfer of research