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Field
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Raufoss Technology are industrial partners in this project. Duties of the position Study, prototype and validate extrusion processes mechanisms for improved accuracy and mechanical properties Investigate
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methods Experience analysing RNAseq and/or high throughput imaging data Experience handling human post-mortem tissue Experience writing/using computer code Experience supervising postgraduate students and
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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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single synthetic program of computational geometry. Specific interests include morphology, design topology, discrete differential geometry, packings, and machine learning methods for unstructured geometric
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engineering, membrane mechanics, biomolecular assembly and related techniques, mechanical modeling and simulation is highly preferred. Experience in advanced microscopy, super-resolution cell imaging, machine
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cell imaging, machine learning-based image analysis is highly preferred. Have more than 2 first-authored papers in reputable journals is preferred. We regret that only shortlisted candidates will be
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well as for validation of numerical simulation results. As part of the work task, we expect machine learning to be employed to improve accuracy and efficiency of numerical methods, combining advanced technology with
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Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS, or related venues - Demonstrated ability in
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health data, such as electronic health records or biobank-scale resources (e.g., UK Biobank, All-of-Us, FinnGen). Familiarity with machine learning approaches, such as penalised regression, deep learning
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, we expect machine learning to be employed to improve accuracy and efficiency of numerical methods, combining advanced technology with scientific research. About the Department of Mathematics at UiB