612 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" positions in Sweden
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English. Solid programming skills in Python. Experience in machine learning or deep learning implementation. Meritorious qualifications Experience in image analysis. Experience with large language models
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. The department offers courses at undergraduate, advanced and postgraduate levels in biology as well as soil, environmental, forestry and agricultural sciences within several programs, for example Agronomy, Soil
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outcomes. A short research plan describing how your background and research interests can be integrated within the geometry assurance framework. Use the button at the foot of the page to reach the
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frameworks established around the transition labs within the national innovation program of Shift Sweden. About us The transition labs in Lindholmen and Kronoberg address how concrete design and transformation
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, including developing your own scientific concepts and communicating the results of your research both verbally and in writing Teach at the bachelor’s and master’s level within the programs offered by
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field. Knowledge in FEM (including programming thereof) is required. You will need strong written and verbal communication skills in English. You will be expected to take on responsibilities within
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is expected to independently plan and carry out scientific studies within the Production Development research group. The main research and teaching area is Industrial Systems with a focus on circular
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fostering subject development. In addition, you will be involved in teaching activities and the continuous improvement of educational programs. You are also expected to support the university’s strategic
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spectrum of virtual reality, mixed reality and augmented reality, as well as other innovative media forms. The division is responsible for the visual media track of an international master’s program in
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Engineers within the international master’s programme Mobility Engineering. About the research project This project aims to improve ship energy performance through the integration of AI, big data analysis