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, geomagnetism) and the development of corresponding numerical methods. We offer the opportunity to work in a small interdisciplinary research group consisting of mathematicians, computer (geo)scientists, and
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Acquired brain injury is significantly overrepresented in the criminal justice system, with prevalence estimates in prison populations ranging from 50% to 80% in adult populations. The needs
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to look for empirical relationships and decipher noise or signal > Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; Easily learns how to apply new
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“hacking” ability to quickly get into data to look for empirical relationships and decipher noise or signal > Familiarity with classical statistical methods and knows when and how to apply them in a rigorous
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Qualities:You are a computer scientist, a computational biologist or a computational chemist with proven expertise in implementing machine learning methods in Python. You write or have written your master's
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computer vision and machine learning methods to interpret the photovoltaic (PV) solar farm's condition and perform various inspections and anomaly detection. The research will draw from state-of-art
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located on our Copenhagen campus. The candidate will be working with human-computer interaction principles for promoting effective management of privacy in interoperable text messaging platforms
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experience working in a group dedicated to materials science and nanotechnology on applying similar tools. Python Programming, AI methods (ML, DL, computer vision) Summary of conditions: Full time work (37,5h
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tackling the above challenges with novel system designs and tailored AI/ML based methods. Candidate’s profile A First Class Bachelors degree and/or Masters degree in a relevant subject (computer
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quantitative methods. Expected outcomes include new knowledge on designing for technology-supported wellbeing, particularly when using human-centred AI. The project will involve critical analysis of existing