51 parallel-and-distributed-computing-phd Postdoctoral positions at Aarhus University in Denmark
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. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical
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punished or excused. The project is organized around three work packages. Work package I develops computational tools to detect and quantify shaming and shamelessness in elite political discourse across
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qualifications at PhD level, in medical physics, physics, biomedical engineering or computer science. It is mandatory that your PhD degree is on a topic relevant for this specific position, i.e. in CT-imaging and
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, information science or related fields. A PhD in social science or related areas is required. We expect the candidates to have excellent communication skills in spoken and written English, and an ability to produce
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controlled trial evaluating self-help interventions for parenting couples experiencing conflict or relationship distress. The trial compares the online OurRelationship program, couple-focused bibliotherapy
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highly motivated candidate who has: A PhD in agronomy, engineering, biology, technical oriented sciences or similar. Research experience on process-based models (e.g. DayCent, DNDC, or similar) to simulate
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responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical/administrative employees who
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research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has: A PhD in natural sciences, e.g. geology, soil science, microbial ecology
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biochemical to molecular biology and bioinformatics approaches. Collaborations with structural biologists are possible. Your profile Applicants should hold a PhD in Molecular Biology, Biochemistry, Cell Biology
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electron lasers (XFEL). Optical phase change materials can be reversibly switched between amorphous and crystalline states on fast timescales and are enabling materials for emerging photonic computing