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these subjects) is a must. Exprience with large-scale computations and data handling is required. Some bakground in nonlinear dynamical systems is also expected. The candidate must have excellent communication
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mentoring programme. Support the development and implementation of training and capacity building of relevant stakeholder groups. Engage with various stakeholders from the private and public sectors as
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engineering, computer science, data science, or a closely related discipline Have an excellent academic record Have strong analytical skills Be passionate about sustainability, energy, and public policy Be
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20%-30%, Zurich, fixed-term Our team at KOF, ETH Zurich is seeking a student assistant to support the project "Computing Resilience Indicators for Pharmaceutical Supply Chains." This project aims
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the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or
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interdisciplinary research projects in collaboration with a team of legal, economics, and computer science scholars. Workplace Workplace We offer We are an interdisciplinary research group at the intersection of law
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molecular processes occurring within and between cells to explore molecular mechanisms across scales in biology. We encourage applicants who combine experimental and theoretical/computational approaches
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business applications. Profile Required Qualifications Master's degree in Computer Science, Data Science, or a related technical field with strong foundations in machine learning OR Master's degree in
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100%, Zurich, fixed-term The Chair of Infrastructure Management lead by Professor Dr. Bryan T. Adey in the Institute of Construction and Infrastructure Management (IBI) of the Department of Civil, Environmental and Geomatic Engineering (D-BAUG), has an opening for a researcher focused on data...
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for global society and future generations. A tailor-made program for your professional development. Participation in and shaping a dynamic research team with supportive colleagues, fostering collaboration and