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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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-based tools such as BioSTEAM and Brightway LCA Software will be an advantage. Excellent communication skills in English, and willingness to work in an international, interdisciplinary team. Openness
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of Bayesian optimisation Experience of numerical computing for optimal control, dynamical systems, Bayesian inference and Bayesian optimisation. Experience of running controlled fermentation experiments
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, and validate robust computational workflows. You will co-develop well-documented, shareable codebases and tools following modern software engineering practices. You will collaborate closely with
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in relevant fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g
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. metabolic rate (respirometry) and thermal preference and avoidance Investigating growth rate and thermal experience from analysis of otoliths Analysing data using R or similar statistical software. Writing
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to a PhD program at DTU. 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 in a relevant field such as control
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readily integrated in LCA softwares. This development will offer a unique opportunity for international collaboration in the fields of bioprocess engineering and quantitative sustainability assessment. Our