119 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"IMPRS-ML"-"UCL"-"https:" positions in Switzerland
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background ETH Zurich is seeking a dynamic and highly organized professional to co-lead the ETHInvestor Connect Program. This position provides a unique opportunity to work at the intersection of deeptech
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. The scholarship programme is currently open to applicants from 183 countries. What are Swiss Government Excellence Scholarships? Research scholarships These scholarships are available to postgraduate researchers in
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, ACHIEVE consortium The primary focus of this role is to serve as the Knowledge and Technology Transfer (KTT) Expert within the ACHIEVE consortium as part of the SWEET funding programme of the Swiss Federal
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with a research program focused on mechanistic questions that are related to genome regulation, RNA metabolism, or protein homeostasis. We are especially interested in candidates using cutting-edge
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a highly committed multidisciplinary team Regular meetings and close collaboration with the project partners Enrolment in the PhD program of ETH Zürich ETH Zürich is a family-friendly employer with
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progression-and where we can intervene. This research is supported by the ERC Starting Grant. Start date: Flexible, between 1 March and 1 September 2026. Your position Design, plan, and perform experiments
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transport modelling, and data science. Solid programming skills (ideally Python) and experience with data analysis. Self-motivation and curiosity to learn and grow independently. Strong communication skills
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research. Your position Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented generation [RAG], prompt engineering). Plan and analyze
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-quantitative methods for decision support for sustainable innovation. Your tasks With the PhD work, we plan to adapt and advance the SSbD framework in the area of green electronics, with a special focus on bio
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the ability to independently drive projects from concept to completion. Bonus Qualifications: Experience with Gaussian Splatting. Familiarity with CUDA, compute shaders, or other GPU programming