52 parallel-processing-bioinformatics research jobs at Chalmers University of Technology
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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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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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Researcher to join our team in the interdisciplinary research project: Knowledge making in the era of Artificial Intelligence: the social regulation of writing for publication processes and products Become
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(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines
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equality and excellence . 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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, otherwise the offer may be withdrawn.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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are considered the largest source of uncertainty in climate predictions because it is complicated to accurately model the small-scale process (microphysics) inside clouds occurring in a range from meters to
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creative, collaborative, and equitable work environment. Our strength lies in utilising and combining experimental, digital, and qualitative approaches to develop solutions and processes. The division
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of the role of dietary in health and disease and establish personalized dietary strategies for more effective disease prevention. In many cases, the work involves time series data, dynamic processes and
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spatial point process models for the emergence and arrangement of objects (including birth-death dynamics, merging, and non-overlap constraints) with methods from shape analysis, in particular stochastic