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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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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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for collaboration across sections, departments and faculties, and with other educational institutions, municipalities, and industries. The degrees offered by the department include BSc, MSc, and PhD degrees in
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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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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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Requirements Applicants must hold a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a closely related field. A strong research background and programming experience
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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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. 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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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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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