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. The applicant should have: A PhD in meteorology, climatology or other related fields Experience in mesoscale modelling, preferably WRF Experience of scientific programming and running code on HPC systems
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more information for a given experimental budget. Efficient active learning depends on the careful co-design of experiments and inference algorithms. You will explore topics such as how to elicit
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experiments and analysing data. Design and perform cultivation in bioreactors. Writing peer-reviewed scientific publications. Actively interacting and collaborating with other partners involved in the project
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international conferences and journals, experience in publishing peer-review journal papers is the preference BSc/MSc thesis on topics like thermal energy storage, energy systems analysis, solar heating, domestic
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optimization. We are looking for a candidate who is motivated by both technical curiosity and making a real-world impact. Ideally, you: Have experience with AI models (e.g., graph neural networks, supervised
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background in experimental microbiology and has laboratory experience in e.g., minimum inhibitory concentration (MIC) assays, molecular techniques (qPCR and dPCR), and fluorescence microscopy. You are expected
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points) or a similar degree with an academic level equivalent to a two-year master's degree. Key Selection Criteria Hands-on experience in Synthetic Biology and Genetic Engineering is mandatory. Knowledge
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Job Description We are seeking a senior researcher with a strong scientific background, deep passion for innovation, proven leadership experience, and a collaborative mindset to lead a research
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, experience in working with cell cultures or in vitro test and/or the Environmental Assessment of Chemicals. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level