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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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French National Institute for Health Research (INSERM) | Lille, Nord Pas de Calais | France | 3 months ago
bioinformatics workflows in Python for the analysis of transcriptomic, proteomic, single-cell transcriptomic, and interactome datasets. Design and implement Big Data and machine learning approaches using Python, R
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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