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factors (learning curve). These will be linked with the CCTA imaging biomarker data (quantitative plaque analysis) that is being collected as part of the EU HORIZON TARGET study to determine personalised
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Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist
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, Master’s, and Doctoral degree programs) closely linked to both primary and applied research and high school teaching of the following sciences: Mathematics, Physics, Chemistry, Biology, and Earth sciences
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paths at DTU here . Further information Further information may be obtained from Assoc. Prof. Luca Vannucci, lucav@dtu.dk . You can read more about DTU Electro at www.electro.dtu.dk . For more specific
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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training plan For further information, please contact Prof. Gabriele LENZINI at info-irisc@uni.lu and Prof. Pedro CARDOSO-LEITE pedro.cardosoleite@uni.lu
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diversity, and therefore particularly encourages women and those outside the gender binary to apply for the position. For additional information, please contact Assoc. Prof. Johanna Björklund (johanna
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of the two projects. This will include specifying the research questions and expectations, designing the relevant studies and instruments, collecting and analysing data, and reporting on all these stages in
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About the lab involved The Laboratory of Ion Channel Research (https://voetslab.sites.vib.be/en ), led by Prof. Thomas Voets at the VIB–KU Leuven Center for Brain & Disease Research, is a dynamic
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You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form