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for you: We are looking for a colleague in the Computational Design and Analytics (CDA) team, a part of DTU Biosustain Biofoundry, where we build cell factories for the various application areas
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bioprocessing operations Analytical chemistry Dairy protein chemistry, esp. chemistry of caseins Functional properties of food protein ingredients Chemometrics Design of experiments In addition, the following
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an analytical mindset and interest in data? As our new student assistant, you will have lots of responsibility and the opportunity to develop both yourself and the tasks within the following areas: Event
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KPIs, and decision support systems Strategic mindset and strong analytical capabilities Experience in stakeholder engagement and translating technical knowledge into practical solutions Proven ability
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pivotal components, the MIA project comparatively analyses how these converge in the everyday lives of youth. Working with the same focus group through a shared methodological and analytical approach in
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together with basic and integrative neuroscience within the CNAP research groups. Applicants should be able to demonstrate knowledge and experience within pain research. Excellent analytical and problem
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research position are expected to have a Master of Science degree in radio communications, or a related field. Knowledge and experience with 5G cellular systems and wifi are an advantage. Good analytical
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environmental engineering. A collaborative and analytical mindset, with the ability to synthesize complex information across experimental and theoretical domains. Enthusiasm for advanced electron microscopy
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(e.g. C++, Python, Matlab) OpenFOAM (beneficial, not required) Strong analytical and problem-solving skills. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and
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manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab is highly desirable. You should have good analytical