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, machine learning or neuronal population analyses would be an advantage. Specific Requirements We are looking for a candidate with a strong interest in scientific software development and quantitative
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. Unsupervised machine learning approaches will be used to identifiy key dimensions of circadian rhythm associated with dementia subtypes. This requires a very good level in statistics and R programing as
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environment combining robotics-enabled genetic engineering, large-scale data acquisition, and machine-learning-driven design, to enable discoveries that are unachievable through traditional biological
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 10 days ago
partners to collaborate on research without sharing or moving the underlying data. The framework extends machine learning and data analyses to broader federated operations proposing functinalties such as
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at NeuroSpin is very scientifically stimulating, combining MRI physicists, machine learning experts, and cognitive neuroscientists. Team members go there to collect data and collaborate with their colleagues in
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promising research record in one or more of the following areas: artificial intelligence and machine learning; statistical learning or applied mathematics; multimodal and longitudinal data analysis
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IRCM - Cancer Research Institute of Montpellier | Montpellier, Languedoc Roussillon | France | 3 months ago
dedicated to developing new antibody-based biotherapies and diagnostic tools for solid tumors, auto-immune diseases and emerging viruses. The team uses in vitro selection approaches and home-made designed