277 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"PhD-Jobs" positions in Switzerland
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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. Empa is a research institution of the ETH Domain. Our Laboratory for Advanced Fibers in St. Gallen develops functional polymer fibers with applications in energy storage, health, and environmental
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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
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to foster translational research focused on developing treatment protocols and clinical therapies, as well as novel technologies and intelligent systems, in the emerging fields of Regenerative Medicine
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convective heat transfer with the surrounding air. Within our research group at ETH Zurich, we are developing computational workflows for predicting temperature fields in machine tools using computational
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Scientist. Your position Enabling research projects by developing and deploying IT solutions tailored to chemical research workflows. Advising and supporting researchers on research data management
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of Immune Engineering (BIIE), which aims to develop innovative computational and immune-based solutions for pressing health challenges, particularly those affecting children and adolescents, and encourages
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. Empa is a research institution of the ETH Domain. Our U rban Energy Systems Laboratory (UESL) develops strategies and methods to support the creation of decarbonized, resilient, and equitable energy
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and active thermal hardware considering SWaP (Size, Weight, and Power) and COTS (Commercial Off-The-Shelf) aspects depending on the mission parameters. As part of your role, you will: Develop and
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Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science or statistical methods (data science, computer science, economics, social sciences, etc.) Excellent