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management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering
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a PhD in ethics, philosophy, science and technology studies, critical data studies or a related field. You have demonstrable interest (e.g. apparent from publications) in the ethics of digital health
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Development programme. Your qualities You have a PhD and proven interest in virology, molecular biology, and biochemistry. You have hands-on and proven experience in molecular biology, biochemistry, and/or
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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin
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very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organized in
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academic Chair, where we interface robotic technologies with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a
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Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted
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, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications PhD in Computer Science
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with a PhD in Human-Computer Interaction, Remote Sensing, Geo-Information Science, Cognitive Science, or a closely related field. The ideal applicant possesses a strong technical foundation, as
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. Qualifications PhD in Computer Science, Economics, Mathematics, or a closely related dis-cipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track