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. During the project, you are expected to supervise Bachelor and Master students, work in tandem with colleagues and coordinate with collaboration partners, therefore we expect a high degree of project
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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML
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related robustness issues. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Specialization should be in
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with both academic and industrial partners in Denmark as well as abroad. Your primary tasks will be to: Investigate suitable thermal storage configurations for centralized (district heating) and
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Epidemiology, your primary tasks will be to: Develop and validate novel computational tools for analyzing metagenomic data Publish peer-reviewed research articles on bioinformatic tools and their application
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on a panel of selected test bacteria and culture methods underestimate the biocide tolerance of Campylobacter . Your primary tasks will be to: Collect existing data regarding the biocide tolerance
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will work closely with members of our research group, as well as with other research groups at DTU National Food Institute. You will also be involved in teaching Bachelor and Master students within our
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structure, reactivity, and stability. - see comment You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and
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, publication, and scientific dissemination, where your primary research tasks will focus on: Designing, developing, standardising and validating in vitro models of food allergy sensitisation Selecting and
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of the project makes it a prerequisite that you have a broad interest in the application of physical methods for the study of (bio)chemical function. Your primary tasks will include to: develop, evolve, and apply