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Field
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metabolomic profiling. The successful candidate will contribute to a collaborative research environment through mentoring MSc and PhD students and participating in teaching activities within the section. Your
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field of health science within the scope of the Faculty’s research areas. The selection process is entirely focused on scientific merits and strong performance in relevant skills, e.g. research management
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the graduate and/or undergraduate level. Profile Essential experience and skills: You have a PhD in in Statistics, Biostatistics, or a similar discipline. You have strong skills in theoretical methods
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field of health science within the scope of the Faculty’s research areas. The selection process is entirely focused on scientific merits and strong performance in relevant skills, e.g. research management
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Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc
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adolescent mental health services. The postdoc will work closely with the project team and will contribute to the supervision of PhD students employed in the project. Reproductive epidemiology — the FEMME
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study design, data analysis, manuscript preparation, presenting findings at international conferences, and mentoring students. Your competencies The ideal candidate has: A PhD in machine learning
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at both academic and non-academic audiences. Qualification requirements Appointment as postdoc requires academic qualifications at PhD level. How to apply Your application must include the following
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with open-source scientific programming frameworks, such as PETSc, or BEM-specific solvers such as BEMPP Qualification requirements Appointment as postdoc requires academic a PhD in Applied Mathematics
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus