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generation and high-speed signal modulation. The project aims to develop quantum communication units on the LNOI platform, including qubit generation, transmission, measurement and drivers as a first prototype
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processes. Job description We are seeking a highly motivated PhD student to further develop this framework by: Implementing numerical solvers for reaction-diffusion systems Extending the biophysical
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methods Modeling of large-scale data, in particular omics (genomics, transcriptomics, metabolomics, etc.) and/or imaging data, across biological scales to study molecular and other biological processes
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focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations
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-transportation system, we are looking for a: PhD Student in Data-Driven Policy Optimization for Transportation and Energy (100%) Project background Our energy and transportation systems are rapidly transforming in
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. Dagmar Iber, which uses advanced imaging and computational tools to develop data-driven, mechanistic models of biological systems. Located in Basel, the Department of Biosystems Science and Engineering (D
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social well-being in areas such as energy systems, transportation, and industrial processes. We are looking for a doctoral student to join our international team and contribute to our research efforts in
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100%, Zurich, fixed-term The Environmental Policy Lab at ETH Zurich is inviting applications for two fully funded PhD positions focused on biodiversity policy and strategic spatial planning
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of live imaging approaches and/or structural biology (cryo-EM) – benefiting from the newly established Dubochet Center for Imaging – is of particular interest. Collaborate in the scientific and academic
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from diffusion tensor imaging of the heart along with all parameters determining the measurement process itself. Job description The position to fill concerns advanced data synthesis (both via machine