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Background in statistics and deep learning; Excellent programming skills in python; Familiarity with Unix command-line tools; Excellent communication and organizational skills; Ability to work independently
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research area: Python or C#, robotics, additive manufacturing, finite element analysis, or computational fluid dynamics. Experience in teaching and co-supervising thesis students at university level
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concurrently and meet deadlines. 5. Demonstrated proficiency in Python and willingness to contribute to open source. 6. Ph.D. Degree must be defended and completed by the start date of the position, which is no
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ In the context of Prof. Fridgen's PayPal-FNR PEARL Research Grant and the FutureFinTech National Centre
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