4 machine-learning-"https:"-"https:"-"https:"-"Institut-Curie---Research-Center" Fellowship positions in Switzerland
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of this programme. The profile PhD in computer vision, computational biology, physics or a related discipline Demonstrated expertise in image analysis and working with large-scale imaging datasets Strong expertise in
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-omics datasets Developing and maintaining reproducible, well-documented analysis pipelines Applying and adapting machine learning and AI approaches to biological questions Collaborating closely with
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1-year fellowship in Shoebill Conservation Genetics with support for a further 3-year PhD fellowship
biology, or conservation completed before 31 July 2026. In addition to an interest in evolutionary and conservation biology, the candidate should be committed to doing field work, wet-lab work, learning
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at the Collegium, starting on September 1 until June 30 of the respective academic year. Infrastructure Early-career fellows are provided with a desk, access to IT and library infrastructure as well as a computer if