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analysis, as well as for data processing, integration, and interpretation. Current research directions include, for example, applying DIA-based strategies in large-scale studies, combining electron- and
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of measurement systems, signal processing and analysis and the assessment of measurement accuracy, robustness and long-term stability. The resulting data form the basis for model-based approaches to evaluating
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phosphorus-driven eutrophication, with experience in soil monitoring and erosion processes. Skills in GIS, spatial analysis of large scale data, modelling, remote sensing, and programming (R or Python
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change. In addition to research, one of the major teaching tasks of the Chair is to deliver the MScLA second-year advanced design studio. In this studio, students develop large-scale landscape
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description You will support the TreeAI global initiative by developing data driven methods to enhance large scale tree monitoring. The role focuses on managing and expanding the TreeAI database and advancing
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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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2 Mar 2026 Job Information Organisation/Company Paul Scherrer Institut Villigen Research Field Physics Engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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Containerized and Kubernetes-based service deployment and operations Large-scale machine learning and LLM workflows (e.g., PyTorch, Megatron, pre-training, fine-tuning, inference) Storage and data systems (e.g
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We are seeking an exceptional and highly motivated Postdoctoral Researcher to lead research on the in-hospital deployment of Large Language Models (LLMs). The focus of this position is the
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for reaction-diffusion systems Enhancing the biophysical capabilities of the C++ framework Applying the framework to morphogenetic questions using real imaging data Running large-scale simulations on ETH’s HPC