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Postdoc in Machine Learning for Oligopeptide Design (1.0 FTE) (V24.0584) « Back to the overview Job description The advent of modern machine learning (ML) methodology is accelerating scientific
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Organisation Job description The advent of modern machine learning (ML) methodology is accelerating scientific progress by streamlining research across disciplines. In chemistry, it enables
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the patterns of interactions and manner of diffusion of service provision. These data will be complemented by data from a bespoke survey, designed and analysed in this post-doc, and conducted by the pilot
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Post-doc position “Fundamentals in the growth behavior of TaC coatings” (V24.0321) « Back to the overview Job description Topic of research: Fundamentals in the growth behavior of ultrahigh
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the positive outcomes of twin transition. Specific attention will be placed on the ways in which the disruptions caused by the COVID-19 and Brexit have affected freedom of movement between EU regions. The post
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(Groningen), and the UK. This post-doc project offers a unique opportunity to work in an international environment and to acquire valuable research experience for someone who has recently completed a PhD in
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, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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of making in ancient Roman visual culture (e.g. depictions of craftsmen at work, mythical scenes of making, or depictions of making in sacred or military contexts). They will take into account (where
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-based-modelling. This post-doc will be responsible for conducting these tasks. The spatial microsimulation will create maps that cover the pilot areas and show where demand for either social services