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Field
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relevant background in information extraction, entity resolution/entity linking, machine learning, uncertainty modelling, explainable AI, or a closely related area, with a PhD (or near completion) in
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(https://endomic.github.io) aims to develop artificial intelligence and statistical-learning methods capable of identifying robust and clinically meaningful disease endotypes from heterogeneous, multimodal
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
, engineers, software developers, and geophysicists working on the development of next-generation airborne geophysical technologies. The position focuses on advanced numerical developments for transient
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EXPERIENCE in: Scientific/Academic writing Research methodology (Quant or Mixed Methods) Experience with statistical software (e.g., R, Mplus, SPSS, etc.) Credentials must be obtained prior to the start date
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ICT Services & Applications. Your role The position holder will be required to perform the following tasks/will do research on the following topics: Software engineering practices for machine
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Responsibilities Teaching as needed, particularly in the area of "Cryptology & Privacy" Scientific research in the field of symmetric cryptography Developing new methods for the design, cryptanalysis, and formal
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our website: https://www.list.lu/ In the Environmental Sustainability Assessment and Circularity (SUSTAIN) research unit, the different research groups advance science-based methods through
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The staff scientist will be a member of the Explainable AI (XAI) team. The XAI team’s research is focused on developing methods that allow AI systems to justify and explain their recommendations and actions
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preparation or analytical methods. Development of new protocols, software-supported workflows, or equipment implementation strategies where appropriate. Develops and delivers training for safe and effective
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methods. Development of new protocols, software-supported workflows, or equipment implementation strategies where appropriate. Develops and delivers training for safe and effective operation of the XPS