27 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Fundação-Minerva-" positions at University of Basel in Switzerland
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Your position • Maintain and enhance pipelines for spike sorting, calcium imaging signal extraction, neuron tracking across recordings, and automated behavioral analysis. • Develop efficient data
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Postdoctoral Researcher in Marketing (AI & Synthetic Data) 80-100% Join the Marketing Group at the University of Basel to advance research on synthetic data. In an Innosuisse project with Boomerang
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12 Dec 2025 Job Information Organisation/Company University of Basel Research Field Biological sciences » Biology Computer science » Other Mathematics » Statistics Neurosciences » Neurology
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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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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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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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vision and its associated diseases, as well as to develop new therapies for vision loss. For more information, please visit iob.ch ! About the project For a project in the Human Retinal & Central Visual
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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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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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-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