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. Qualifications: Background in data science Interest in physics-informed machine learning Strong written communication skills Enthusiasm for interdisciplinary collaboration Strong team spirit Experience with metal
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. Experience in modeling biological processes. Experience in use of process simulation tools such as Matlab, Aquasim, Superpro Designer or similar. Expertise within fermentation technology and/or gas
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candidates with a degree in materials science, solid state chemistry, electronic engineering or similar. Experience with one or more of the following areas is considered an advantage. Fuel cells and
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the DNRF Center NanoPhoton – Center for Nanophotonics, and we expect you to actively engage with other researchers in the center and share your expertise. Required qualifications: Experience with open
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reporting in English Creative, proactive and independent thinking Prior experience in research in the form of student projects, and capability to work in an interdisciplinary manner are a plus. The successful
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and be able to work as part of a team to achieve ambitious goals Teach and co-supervise BSc and MSc student projects Potentially participate in Arctic field campaigns We expect that you have: Experience
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in cost and benefit sharing, minimizing procurement costs and imbalances, and safeguarding both consumer and corporate data. The ideal candidate will have experience or an interest in the following
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challenges and decision-making under uncertainty. Ability to translate conceptual models to their mathematical formulation and to test them with numerical and simulation experiments. Excellent communication in