63 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Warwick" positions at University of Basel
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environment. In line with our and Uni Basel values ( https://www.unibas.ch/en/Research/Values-Ethics/Diversity-and-Inclusion.html ), we are committed to sustain and promote an inclusive culture, ensure equal
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hidden links in the dark proteome. At the SIB Swiss Institute of Bioinformatics, we develop SWISS-MODEL (https://swissmodel.expasy.org ), a widely used web-based platform for generating high-accuracy 3D
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multimodal data analysis, with an initial focus on neuroscience. To build this interdisciplinary platform, we invite applications for three PhD-level Research Specialists: Microscopy and Spatial
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multimodal data analysis, with an initial focus on neuroscience. To build this interdisciplinary platform, we invite applications for three PhD-level Research Specialists: Microscopy and Spatial
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will be responsible for a range of research tasks, including literature search, data curation, coding for systematic literature reviews, data analysis, and miscellaneous administrative activities (e.g
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, and neuromuscular function. It provides state‑of‑the‑art instrumentation for motion capture, force measurement, wearable sensor technologies, and advanced data analysis. The facility enables researchers
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expected to take the lead role in their projects, publish manuscripts as the first author, and present their projects and data at lab meetings, as well as international meetings. We are looking for someone
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Health (AICH) group develops AI/ML methods, digital tools, and secure data pipelines to advance pediatric healthcare. We work at the intersection of clinical medicine, machine learning, and data-intensive
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maintain infrastructure and lab equipment (e.g. microtomes, automated stainers, and tissue processors). Track and manage samples and data with precision. Develop new protocols and methods. Implement quality
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-focused , contributing primarily to one of the following projects: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce