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of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General information
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dedicated to upholding equality 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: Campus Belval
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to become a highly active member in the online mass spectrometry and cheminformatics communities Willingness to work in a team, with colleagues and external collaborators Keen to work with students on small
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, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General
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of the moving sources, and directionality of the DAS measurements, make the use of machine learning techniques very appealing. The doctoral student will propose deep learning methods for source separation of DAS
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to upholding equality 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: Campus Belval Internal Title
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heterogeneous biomedical data o Gather knowledge in advanced statistical learning methods o interact with the researchers and medical teams of Inria and Lacassagne Hospital o Interact with other students and
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and medical teams of Inria and Lacassagne Hospital o Interact with other students and participate to scientific life of the teams. 3- Profile and skills required: We are looking for a candidate with
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Send your CV along with a motivation letter to chloe.lehoucq@pasteur.fr with benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in