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with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
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biology, computational fluency, and proven collaborative leadership are all absolutely required for this position. We have strong and long-standing alliances with the computational laboratories of Moritz
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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
scientific organisation. With around 1,200 employees as well as ca. 500 guest researchers, we contribute to the Helmholtz Research Field Earth and Environment, aligning cutting-edge research with societal
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological research. As a department, we value having a pleasant and informal working environment across all job
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
findings at academic venues and publish research in peer-reviewed journals Your profile # Completed university studies (PhD) in the field of Physics, Computer science, Materials science, Chemistry, or a
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), including research project supervision and teaching of research skills. What do you have to offer A PhD in neuroscience, psychology, computer science, or a related field; Peer-reviewed publications based
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skills. We expect you to be fluent in oral and written English. Who we are The Institute of Biological and Chemical Engineering (BCE) has a strong focus on providing solutions for a sustainable future
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Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific
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multidisciplinary research in broad program themes of Engineering Sciences for Computing and Data Science, Intelligent Systems and Materials, Advanced Electronics and Electrical Engineering, Sustainable and Smart