67 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Aarhus University in Denmark
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cognitive science. We are looking for an applicant who can strengthen our research profile in computational modelling of cognitive processes and/or computational modelling of social processes. The ideal
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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maintenance of equipment and instruments Handling and care of animal models Assistance with molecular experiments Training and supervision of students and new staff in laboratory procedures, safety routines
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to develop an independent and competitive research program. Research areas of particular interest include, but are not limited to: • Surface-sensitive vibrational spectroscopy (e.g. sum-frequency generation
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scientific areas. We educate both Bachelor and Master of Science in Engineering and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students
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aptitude and assessed ability to complete the project within the framework of the PhD programme You can read more about the assessment procedure and committees appointed by the dean here . Applicants
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(for example university–museums sector collaboration, research addressing sector-specific challenges, or broader societal engagement and impact). Experience with or an interest in computational approaches
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computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately
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research, contracted policy advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive
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computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately