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hours per year (based on fulltime) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; multiple courses on topics such as leadership
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research approaches. Working closely with nursing partners and clinical collaborators, our exciting work combines non-invasive imaging technologies, deep learning, computer vision, and clinical workflow
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demonstrable outputs. Knowledge and experience with data analytics and the capability to quickly learn new hardware/software techniques. Ability to independently organize his/her own work, to solve problems
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competencies Applicants should have an excellent foundational knowledge of wireless communications, machine learning, signal processing, and information theory, complemented by strong mathematical and analytical
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learning at scale. Research directions include designing algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating
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Demonstrated creative and proactive approach towards problem solving Knowledge of and experience in general analytical methods development and good analytical practices Maintains a working knowledge of
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Apply now The Metabolomics & Analytics Centre at the Leiden Academic Centre for Drug Research (LACDR) at Leiden University is looking for a: Postdoctoral Research Engineer: Innovative Engineering
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valued, along with proficiency in advanced analytical techniques such as NMR, FTIR, GC–MS, HPLC, BET, and electron microscopy. Duties/Responsibilities 40% on lignin plasma conversion 40% on catalytic
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engineering, with a strong willingness to learn the complementary skill set. Experience in collaborative research environments. Excellent communication and teamwork skills. A proactive attitude towards learning
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analysis, working under supervision to analyze data using established methods and assist in developing new analytical approaches for these imaging datasets. The Biostatistician will apply complex data