97 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Stanford-University" positions in France
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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unit (UMR 7248) from UCA and CNRS. Abstract Optical flow estimation is a key task in computer vision, particularly critical for autonomous navigation where accurate motion perception is essential. It can
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within the AI4AMR consortium, adapt them when necessary, and contribute to improving their performance. Work closely with microbiologists, data scientists, and AI researchers. Implement pipelines for deep
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to upholding equality and respect for our employees and students. General information: Contract Type: Fixed Term Contract 36 Month Work Hours: Full Time 40.0 Hours per Week Location: Belval Campus Internal Title
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the professor's performance with respect to the above-listed expectations. For further information about the role, please contact: Prof. Serge Haan, Head of department, Email: Your profile A recognized degree in
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will be developed. Finally, the research will develop efficient algorithms and test them on realistic networks and using real data from energy and public transport operators. The Doctoral student is also
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information: Contract Type: Permanent contract Work Hours: Full Time 40.0 Hours per Week Location: Belval Campus Internal Title: Research scientist Job Reference: UOL07980 .
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exposured to hand-on single-cell Omics data analysis. Applications including a cover letter and a curriculum vitae should be sent before 9th Jan 2026 via our website www.LIH.lu/jobs. Gender Equality The LIH
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and respect for our employees and students. General information: Contract Type: Fixed Term Contract 24 Month Work Hours: Full Time 40.0 Hours per Week Location: Belval Campus Internal Title
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in the training data and can naturally arrive during deployment (i.e., a distribution shift), increasing the risk of obtaining wrong predictions. Consequently, OoD samples detection is crucial in