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in data processing, designing or developing computational algorithms for measurement data (preferred for plasma physics or HEP). Knowledge of Python, Matlab. Additional assets: Experience in laboratory
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support delivery of one of our new flagship EU-funded projects. In particular, the role holder will work in the areas of design, modelling and simulation, optimisation, development and laboratory testing
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to develop, evaluate, and/or apply algorithms and software for data analysis. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production
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the construction of PRS and enhance disease prediction. Students will gain experience in: Statistical genetics and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and
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website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Algorithmic Optimisation of Stowage for a Cargo Return Vehicle You will help develop a numerical optimisation
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: ● Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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Job Description We seek candidates to join the Algorithms Section. The focus of the call is both to expand at the new Vejle campus and to strengthen the Odense campus. We have several openings, and
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emerging technologies. Sustainability is a top priority for SC3DP, which offers material development and control services that combine artificial intelligence, big data, and other digital tools for process
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matches the recorded motion of a group of healthy individuals and its application for the prediction of such movements to enhance human-robot collaboration. Related to this, developing and implementing
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and simulation, optimisation, development and laboratory testing of future aircraft electric propulsion drive systems. Candidates should hold or be shortly due to obtain a PhD in Electrical and