46 parallel-and-distributed-computing-phd Postdoctoral positions at Aarhus University in Denmark
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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python
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. The candidates must hold a PhD in Chemistry/Physics. Experience in data framework development, kinetic/thermodynamic modeling, and collaborative interdisciplinary research. An education history in chemical
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, including robotic control, mechanics of materials, fluid mechanics and biological systems, in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer
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The selected applicant will work in close collaboration with the project manager, Laura Gilliam, and a PhD student throughout the period of employment. This collaboration includes planning and conducting
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and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality results for both
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will report to Professor of Medical Physics Stine Korreman. Your competences You have academic qualifications at PhD level, for example within the following areas; computer science, biomedical
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research. Experience with high-performance computing (HPC) environments. A strong publication record relative to career stage. Ability to organize tasks and work in an interdisciplinary team. Further
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(Canada), Fairbanks (Alaska) and Nuuk (Greenland). Your profile Applicants should hold a PhD in Ecology or related field. Moreover, we are looking for candidates with the following qualifications: Strong
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competences You have academic qualifications at PhD level, for example within one or more of the following areas: Neuromuscular research, molecular muscle biology, transcriptomics or gene regulation. Further
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biodiversity assessments and methodological development at Aarhus University. Your profile Applicants should hold a PhD in ecology, population or conservation genetics, evolutionary biology, bioinformatics