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physics within the Durham Quantum Light and Matter group. The positions are associated with a new five-year Programme Grant on "Quantum Many-Body Physics with Ultracold Polar Molecules" funded by UK
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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
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of Engineering and Physical Sciences at HWU. The position is open in the context of a large research project aiming to develop a new generation of computational imaging algorithms intended to deliver
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group. The positions are associated with a new five-year Programme Grant on "Quantum Many-Body Physics with Ultracold Polar Molecules" funded by UK Research and Innovation (UKRI). The research builds upon
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods
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the Department of Computer Science at Aalto University in Finland. You will be joining a larger group of researchers working on similar topics. The department has a strong community on related topics: research
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team, analysing and interpreting spatial transcriptomic data. You will work on the Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and
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essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, data science, statistics, physics, or a related discipline, and have experience of analysing and
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute