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: Establish and develop experimental protocols and pipelines and implement data management compliance. Presentation of your work in various meetings (locally at the department, national and international
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, and service areas, and seeks to develop a quantitative measurement approach including comprehensive validation strategies. For more information, please see the complete job advertisement by clicking
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development, supervision, and external funding initiatives. What we expect Applicants must hold a PhD in Energy Informatics or in a closely related field such as Artificial Intelligence, Data Science, Computer
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and information overview Mapping of key Nordic and international literature about transformation of health services. Compose strategy for literature review, overview memos and contribute to a draft of
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(students, staff, and visiting researchers) with sample preparation, measurements, and data analysis Participation in maintaining laboratory safety, including handling of equipment and chemicals Teaching
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-drive systems. Across the above areas, you are expected to contribute to model-based and data-driven/AI-based methods, including digital twins, physics-informed learning, data analytics, and AI-assisted
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more about the department at www.es.aau.dk. Your work tasks The PhD project is part of a bigger Novo Nordisk Foundation (NNF) New Exploratory Research and Discovery grant entitled: Information Theoretic
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Technology, Computer Science, Artificial Intelligence, Data Science, Robotics or any other relevant field, at the time of admission into this PhD program. Students currently enrolled in Master’s programs can apply, provided
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within SDU NAT's External Relations Team Coordination of SDU activities for the Center for Pharmaceutical Data Science Education , a cross-institutional initiative funded by the Novo Nordisk, Lundbeck, and
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Research associate (ATAP) in Mass Spectrometry and Protein Research - University of Southern Denmark
: Working in the Protein Research Group, you will collaborate with Danish and international researchers, students and data scientists. Your Academic Profile: Qualifications: A MSc or PhD degree (or equivalent