61 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Basel
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computational analyses of single-cell, spatial transcriptomics, and multi-omics datasets Developing and maintaining reproducible, well-documented analysis pipelines Applying and adapting machine learning and AI
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performance across development. Possible research topics within this position include, among others, “Embodied Learning", physical activity and sport in Developmental Disorders, and the cognitive effects
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representation, legislative studies, corruption, political methodology or related topics. You collaborate on research and pedagogical projects and assist in academic administration to some degree. You will teach
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environment. n line with our and Uni Basel values (https://www.unibas.ch/en/Research/Values-Ethics/Diversity.html ), we are committed to sustain and promote an inclusive culture, ensure equal opportunities and
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the position, and contact details of two referees will be considered. Where to apply Website https://academicpositions.com/ad/university-of-basel/2026/bioinformatician-100/… Requirements Research FieldBiological
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the project, supported by Dr. Adamo and close collaboration partners, within an environment that encourages academic freedom and scientific independence. In line with our and Uni Basel values (https
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field of European Archaeology (Ur- und Frühgeschichte) across teaching and research: The successful candidate will teach European Archaeology at both undergraduate and postgraduate level (BA, MA, PhD) and
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between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain is open to discussion. Project B – Understanding and Countering
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biosensor imaging, and behavioral pose estimation. The specialist will integrate multimodal datasets and apply advanced statistical and machine-learning methods to uncover relationships between gene
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at the University of Basel, Switzerland (https://duw.unibas.ch/en/ecoevo/ ), is looking for a PhD student in the field of Conservation Genetics. New computational and analytical tools in population genetics allow