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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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of explainable attributes to describe human behavior and self-reports as well as to make progress in the computational models of the human mind. Your main tasks, as a PhD candidate, are the following: Conduct
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functional readouts to score these properties. Skeletal muscles in the head and trunk actually follow distinct developmental trajectories, a perspective our work has significantly advanced (4) . In particular
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study and other ongoing translational initiatives to develop a voice-based digital health solution to alleviate the diabetes burden. Project objective The PhD candidate will work at the interface
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training opportunities, embedded in a networked research community at the interface of chemistry, physics, and astronomy Werequire: M.Sc. (or equivalent) in chemistry, preferably specialized in analytical
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SPINTEC fabrication facilities. As such, this thesis will be stationed mostly at SPINTEC in Grenoble, the PhD program being registered at Université Grenoble Alpes. You will also be part of the Vertical
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for neurodegenerative diseases. Outcomes could be diagnoses of mild cognitive impairment, dementia, and/or Parkinson's Disease, or markers of brain structure and functioning, depending on the dataset
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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control
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! Education Master's degree (Bac+5) in telecommunications, computer science, or a related field, with an interest in AI, cognitive networks, or connected vehicles. Experience and skills Prior experience with