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and analysis are especially encouraged to apply. Flexibility and self-motivation are desired skills at DTU Space, as well as a natural interest in collaboration and personal responsibility. You must
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. Responsibilities and qualifications The nature of this project suggests that you should have a strong interest in the mathematical and theoretical aspects of machine learning. A solid background in mathematics (e.g
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thermodynamic frameworks of protein assembly pathways and develop new ones, by taking inspiration from the ‘out-of-equilibrium’ nature of living cells. To achieve these goals, you will also collaborate with world
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stratification. 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 within natural sciences (e.g., marine biology
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regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than 22 April 2025 (23:59 Danish time
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secondary metabolite research. You will collaborate closely with microbiologists, natural product chemists, and bioinformaticians in a dynamic, creative, and stimulating environment. Our recently renovated
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of Denmark) at the section for Ecosystem Based Marine Management in Lyngby. A fundamental trade-off in nature exists between the ability to grow quickly and the capacity to withstand predation. This trade-off
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manipulate microorganisms is the foundation of microbial biotechnology, yet we have only exploited a miniscule fraction of the microbial diversity on Earth as most microorganisms in nature are unculturable
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in innovation in a form of starting up a spinoff company. You must contribute to the teaching of courses. DTU employs two working languages: Danish and English. You are expected to be fluent in
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. This position is funded under a European Research Council (ERC) advanced grant LUMIN (Illuminating charge transport in feldspar to measure rates of Earth surface processes). We are looking for a self-driven and