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100%, Zurich, fixed-term The professorship for history and philosophy of mathematical sciences , led by Prof. Roy Wagner, is a place for reflecting on all aspects of mathematical knowledge from
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be carried out in collaboration with groups in theoretical chemistry, computer science and applied mathematics. Job description As a PhD student in our growing team, you will perform quantum-chemical
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optimization sub-group of the Reliability and Risk Engineering Lab. To this aim, the successful candidate will: Advance mathematical optimization methods to further our understanding of future energy systems
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the optimized models for suggesting new experiments to identify digital biomarkers that can be used to classify disease models Your profile You are a team-player You have a bachelor in physics, mathematics
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learning, deep learning, and topological optimization. Highly motivated, self-driven, and shows excellent performance Strong analytical, mathematical, and algorithmic capabilities Understanding and
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Earth Sciences / Physics / Mathematics / Computer Sciences or a related discipline is required. Applicants must have obtained their Master's degree by September 2024 A strong foundation in analyzing large
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a bonus but not a requirement Be interested in the intersection between Chemistry, Physics, and Mathematics Be interested in theory, numerical simulations and experimental implementation of pulse
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60%-100%, Zurich, fixed-term We are seeking a Fundraising Lead to join our Operations Group, and support in the development and execution of strategies to manage highly strategic partnerships and raise funding for our mission. Crowther Lab is a unique research group creating the scientific...
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, computer science, or related fields. This includes, but is not limited to, psychology, mathematics, engineering, physics, or statistics. Geographical Eligibility: We are seeking candidates who are currently
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, econometrics, management/ decision sciences mathematics, statistics, computer science, physics or related fields. Your research track is consistent and shows a track record, or clear potential, for modelling