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at PhD level. The research potential of each applicant will be emphasized in the overall assessment. Who we are Aalborg University contributes to the knowledge building of the global society as
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academic partners in Europe and globally. Candidates with the following qualifications will be preferred: Educational background in power systems. Documented knowledge in optimization in power and energy
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with a child with Autism or under observation for Autism in the cross section between the ordinary school system and the specialized support. The investigates what kind of knowledge, and discursive
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. Knowledge of and working experience with modern exact methods such as AdS/CFT integrability, conformal bootstrap or localization will be considered an advantage. PhD students at NBIA and NBI are invited
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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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research using qualitative methods, focused on interviews and observations, are fundamental, while the conduct of quantitative analysis and/or experiments may also be relevant. Domain knowledge in
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Biotechnology, Environmental Microbiology, Bioinformatics, or a closely related field is an advantage. Excellent oral and written English language skills are a requirement. Knowledge of, or experience with
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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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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