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Science, Economics, Mathematics, or a closely related discipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track record with publications in relevant
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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
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Organisation Job description A 2-year postdoc position in computational social choice for digital democracy is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial
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the liveability of the countryside, where some facilities have a local function, while others have a more regional or supra-regional character. In addition, it touches on discussions about potential and
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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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undergraduate students. We focus on high quality teaching and research in the fields of human and economic geography, demography, and spatial planning. Our research program is titled TRACE (TRAnsformations
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, Linguistics and Media and Journalism Studies. For this role, we are looking for someone who: Has a PhD degree in any area related to the tasks (e.g. Computer Science, Digital Humanities, or Information
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, molecular inorganic chemistry and molecular materials chemistry are embedded in the institute. The research programme is focused on synthesis, catalysis, functional materials, bio-organic chemistry/chemical
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tumour response to treatment can then bring this much-needed clarity, and implementing this understanding into computational tools can provide the potential for rapid clinical response to patients