105 master-"https:"-"https:"-"https:"-"https:" positions at Technical University of Denmark
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place for expert advice, partnership and impactful research-based solutions for the green transisiontransition. Overall, your primary responsibilities will be: Proactively look for the good stories in
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the potential of bioproduction. BRIGHT focuses on three main areas: Sustainable materials (Developing bio-based alternatives to fossil-derived materials), Microbial foods (Innovating food production through
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, is expected for all topics. The candidate has obtained excellent grades in his/her Bachelor and Master educations, demonstrated outstanding problem-solving skills, and good communication skills in both
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. The main task is to explore and implement novel efficient anonymous credential schemes which remain secure against quantum attackers. You should have: Master’s degree (or equivalent) in computer science or a
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adsorbate-induced nanoparticle morphologies with ENNP-based simulated TEM data for coherent interpretation. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic
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techniques is beneficial but not required. 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
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qualifications The main responsibilities are either 1) to design and execute synthetic routes to glycoconjugates or 2) to plan and execute in vitro and in vivo studies of vaccines. You will join a research lab
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affect reproductive and developmental health. Your main responsibilities will include conducting lab experiments, but you will also assist in performing literature reviews and contributing actively
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Project Coordinator, as well as other internal and external project stakeholders, with project administration, reporting duties, and day-to-day execution of the project activities. Your main tasks
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, with a strong emphasis on multi-agent systems, optimal control, and algorithmic market design. Your main tasks will include: Model AI-driven learning dynamics in electricity markets Analyze equilibria in