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or knowledge is an advantage but not required. Project duration This is a three-year PhD project funded by Independent Research Fund Denmark. The Centre for Alcohol and Drug Research At the Centre for Alcohol
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equivalent to a two-year master's degree. You must be proficient in English, and knowledge or interest in Scandinavian culture is an advantage. We seek applicants who have demonstrated their ability to work
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knowledge of production engineering technologies and manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab
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to current literature and published in conference and journal articles. You are required to have an excellent academic background and must have a strong knowledge of production engineering technologies and
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of increasingly renewable energy systems. The ideal candidate will have experience or an interest in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and
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project, co-funded by the Innovation Fund Denmark and the Department of Management, Aarhus BSS, Aarhus University. Candidate profile We are seeking applicants with strong knowledge of data analytics and a
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knowledge of production engineering technologies and manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab
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research, educational activities, and innovation at a high international level within e.g. energy, catalysis, and materials. The overall aim is to contribute with new knowledge about basic scientific
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performance engineering use cases, extensive software development experience, and knowledge of machine learning frameworks (such as transformers and torch) are pluses. MSc candidates about to complete will also
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or plasmid stabilization with different selection markers will be pursued. Responsibilities As a PhD candidate, you will contribute to increasing our knowledge and molecular tools for production of proteins