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thinking with renewable energy community planning, developing methodological innovations that bridge quantitative modeling and qualitative approaches. Your tasks Develop and apply optimization and simulation
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(RuzicaDadic), University of Fribourg (Martina Barandun and Horst Machguth), and ETHZurich (Evan Miles). The core team consists of the 4 PIs, 4 PhD students, and 4 Postdocsand aims to quantify the impact of
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of results. Operate and optimize automated sample preparation workflows, including liquid-handling robotics (method setup, optimization, validation, and QC). Drive untargeted data processing workflows (feature
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understanding of the underlying physical mechanisms and to leverage this knowledge to develop predictive tools for optimizing the design and control of wind farms. Research scope and responsibilities Depending
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that bridge quantitative modeling and qualitative approaches. Postdoctoral researcher in peri-urban energy planning and sufficiency Your tasks Develop and apply optimization and simulation models to assess
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a grant from the Swiss National Science Foundation entitled Machine Learning for Optimized Ab-initio Quantum Transport Simulations (MALOQ). It officially started on January 1st 2026 and will
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, selectively captured using antigen-specific monoclonal antibodies, and detected and quantified via flow cytometry. The postdoctoral researcher will work closely with an ongoing PhD project at the University
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lab models for evaluating coating stability, durability, and antimicrobial efficacy Integration of coating and biological performance data to guide optimization of multifunctional coatings. Your profile
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, electrochemistry, and materials science, with the added dimension of collaboration with an industrial partner who will evaluate materials in device-relevant conditions. Job description Design, develop, and optimize