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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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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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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
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development and marine management. Your primary tasks will be to: Compile and harmonize data from multiple sources (e.g., EMODnet, Copernicus, fisheries surveys, citizen science). Engage with data managers and
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with colleagues at DTU and IIT Bombay, as well as with academic and industrial partners globally. The main purpose of this PhD position is to develop, implement and assess machine learning models
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biocompatibility and a high surface area for bioelectrochemistry. Your main contribution in this project will be the design and microfabrication of the 3D carbon electrodes, exploring processes such as
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conversations. Making things work 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 Enrolment