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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 1 day ago
biomarkers and patient cohorts Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc
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and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please
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Can AI learn to reason like a human - and recognise when it isn’t sure? This PhD tackles that challenge in a high-impact setting: interpreting 3D digital models of rock formations built from drone
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, military, and diplomatic repositories in the UK and internationally. The Centre's methodological approach is interdisciplinary, and the successful candidate will benefit from training and collaboration
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We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal
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A 3.5 year, fully funded full-time PhD studentship is available for commencement January 2027. This is a collaborative project between the Centre for Cultural and Media Policy Studies, University
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to the development of sustainable materials for the hydrogen economy. You are an independent thinker, eager to learn new experimental techniques, and enjoy collaborating with researchers from different disciplines as
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with nuclear fuel modelling, machine learning
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
research environment at DTU Construct, collaborating closely with researchers at DTU Bioengineering and internationally with TU Delft, while benefiting from access to state-of-the-art facilities