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sets and statistical analysis, manuscripts preparation. The student will receive a thorough education in molecular biology, zebrafish husbandry, fluorescence microscopy and handling of large datasets
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research experience, particularly handling and analyses of research data as well as statistical and programming skills will be viewed favourably. The applicant must be able to work independently as
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Sciences. Our methods are usually founded in Computer Science and Statistics while problems to be solved are often defined by Life Scientists. In collaboration between Professor Komorowski’s Bioinformatics
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problem-solving are essential. Additional qualifications Experience and courses in one or more subjects are valued: statistical machine learning, optimisation, linear algebra, deep learning, natural
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research is based on design methodology, mechanical engineering, mechanics, statistics, information technology and optimization. The Machine Element Group (also called Chalmers Rock Processing Systems group
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developing state-of-the-art ML algorithms for radiology images Experience with full-stack production-grade Python code, containerization, version control Experience with statistical evaluations within