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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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). Candidates do not need to present the test results as part of their application. These results will be requested at a later stage during the selection procedure. For more information see https://www.tudelft.nl
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Degree Dr Course location München In cooperation with Find out about the participating research groups here: https://www.bio.lmu.de/lsm/en/faculty-and-research/ . Teaching language English Languages
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(https://www.curtin.edu.au/study/offering/course-rs-doctor-of-philosophy---medicine--dr-gmed/ ） Candidates should hold a Master’s degree or a Bachelor’s degree with Honours in biomedical science or a
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of genomics, epigenetics, molecular, cell and developmental biology, biochemistry, bioinformatics and immunology, with a focus on the normal and pathological development of the child. Doctoral candidates are in
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of Microorganisms and Cell Cultures (DSMZ) Fraunhofer Institute for Toxicology and Experimental Medicine (ITEM) Helmholtz Centre for Infection Research (HZI) Leibniz University Hanover (LUH) Hanover Medical School
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into an information science, based on the plethora of experimental data that are nowadays available and steadily being produced about cellular processes. This has created a need to offer doctoral candidates a broad education
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selection procedure. For more information see https://www.tudelft.nl/onderwijs/opleidingen/phd/admission You enjoy performing research. You are independent, self-motivated and eager to learn. You are keen to
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generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab