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includes a stay abroad, funding for this stay abroad will only be considered if it does not take place in the home country and if it lasts a maximum of 25 per cent of the scholarship term. Application
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mentorship in the career development of the student. The program language is English. We offer: a highly international research environment and state-of-the-art technology four years of full funding through
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use
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possible under the following conditions: The study visit is essential for achievement of the scholarship objective, the visit does not take place in the home country, and it is no longer than a quarter of
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is essential for achieving the scholarship objective, the visit does not take place in the home country, and it is no longer than a quarter of the scholarship period (for joint and double-degree
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only possible under the following conditions: The study visit is essential for achievement of the scholarship objective, the visit does not take place in the home country, and it is no longer than a
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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the home country, and it is no longer than a quarter of the scholarship period (for joint and double-degree programmes up to 50%, if this is specified in the study regulations). Longer periods cannot be
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about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering, computer
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, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related