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presupposesscientificqualifications at PhD–level or similarscientificqualifications. The research potential of eachapplicantwillbeemphasized in the overall assessment. Appointment as a Postdoc cannotexceed a period of fouryears in
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of drugs or environmental chemicals in various matrices. Qualifications In terms of experience, we are looking for an individual with a PhD degree within pharmacology, oncology, environmental medicine
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of structural response models against measurements. Support the structural dynamics and multi-body modelling efforts in HAWC2. Teach and supervise BSc and MSc student projects and be co-supervisor for PhD
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for new research projects. Qualifications: We are seeking a highly motivated candidate with the following qualifications: A PhD degree within biology, environmental chemistry, chemistry, or similar
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probabilistic machine learning and geospatial sciences. Limited teaching may be arranged, if mutually agreed, in exchange for a contract extension. Qualification Requirements Applicants must hold a PhD degree in
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. Research-based teaching in GNSS, geodesy, and surveying. The teaching must be conducted in Danish and English at bachelor’s (BSc) and master’s level (MSc) Co-supervision of BSc, MSc, and PhD projects Public
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, Aalborg University is known worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40
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of public-health professionals and PhD-students. The day-to-day work will be performed in close collaboration with other researchers in the Risk-benefit Research Group and within the project consortium
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/requirements We are looking for highly motivated, dedicated, and ambitious candidates with: A PhD in Molecular Biology, Biomedicine, Computational Systems Biology or similar. If you have not yet completed your
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competencies The applicant must hold a master’s degree in engineering and a PhD in a relevant field, such as electrical engineering, with expertise in physics-based modeling, machine learning, and optimization