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of PhD and MSc students, teaching and supporting in acquiring funds for future research projects from research funding agencies/councils, EU framework program or industry. Qualifications Eligibility
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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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/ Field(s) of activity/research for the traineeship In line with the TEC Vision for 2040, the theme of hypervelocity endeavours and innovative propulsion aims to prepare for next-generation flight vehicle
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attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Research statement, i.e., what
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the terms of the research grant when extending an offer. The ideal candidate will hold a PhD with research experience in Computational Science and Artificial Intelligence, and a track record of peer
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CV, including PhD thesis title and date of defense, previous and current positions, academic distinctions, teaching and committee work A complete list of publications A summary of current research work
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: Salary Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making
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required to have a PhD degree or a foreign degree that is deemed equivalent in Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experiences in
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of mathematical areas. The position will be placed at the Department of Computer Vision and Machine Learning (CVML) at the Mathematics Centre (https://maths.lu.se/). Mathematics Centre is a department
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image