146 parallel-processing-bioinformatics positions at Chalmers University of Technology
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courses to help you settle in. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does
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, friendly, and helpful work environment to which we welcome you to contribute. Our activities focus on the modelling of the mechanics of structures, components, and processes along with involved materials
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mathematics Experience in the design and evaluation of learning with digital teaching materials Expertise in quantitative methods and learning analytics for processing and analysing data generated by users
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-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human
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fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be
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fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be
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, otherwise the offer may be withdrawn. We also reserve the right to withdraw an offer in case of an extensively delayed visa process (in the case that is needed). What we offer As a postdoc at Chalmers, you
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of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be attached as PDF
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activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Find more general information about doctoral studies at Chalmers here . Application procedure
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processes, addressing questions of advanced numerical modelling and simulation, measurement techniques, robust sensors, data analysis for experiments and real-world monitoring, development of artificial