69 affective-computing-"https:" "https:" "https:" "UCL" "UCL" PhD positions at Technical University of Denmark
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of Bayesian optimisation Experience of numerical computing for optimal control, dynamical systems, Bayesian inference and Bayesian optimisation. Experience of running controlled fermentation experiments
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the candidates will be made by a local hiring committee
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to take up the challenge of designing, developing and applying advanced X-ray imaging methods by combining experimental and computational approaches in physics. You will be working with laboratory X-ray
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quality parameters affects production performance of Atlantic salmon through a series of growth trials and physiological experiments as part of a preventive strategy for CO2 related production disorders
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Job Description A fully funded 3-year PhD position is available at DTU Aqua, within the newly established project NOW-LUMP, funded by seabreak (https://www.aqua.dtu.dk/nyheder/stenbiderprojektet?id
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degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will
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ability to work independently Ability to convert experimental data into useful functioning models Preferred qualifications but not mandatory: Interest in advanced computational methods to improve and
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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental