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Field
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for the analysis of the sequence data, to describe the genetic diversity between French regions for different types of variants (SNV, indels, SV, STR, mictochondrial…). He/she will work in collaboration with our
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, quantitative and qualitative data analysis; and working with a network of European collaborators (the EuroWISE collective). Work Package 2 (Analysis and Data Management): The PDRA will be responsible for data
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, quantitative and qualitative data analysis; and working with a network of European collaborators (the EuroWISE collective). Work Package 2 (Analysis and Data Management): The PDRA will be responsible for data
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optimization and logistics management. Data analysis and project management skills. Strong understanding of optimization concepts and profitability. In-depth knowledge of environmental sustainability standards
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) Knowledge of intersectionality-informed approaches to research including in data collection and analysis. Good collaboration skills, including with people with lived experiences, other research and academic
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analysis with practically motivated case studies, offering a strong foundation for researchers interested in advancing the mathematical understanding of geometric deep learning. Your Qualifications PhD
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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to follow this initial post. Applicants should hold a PhD (or equivalent) involving neuroimaging, cognitive neuroscience or a related field. Experience in MEG/OPM-MEG acquisition and data analysis is
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are expected to utilize computational, biochemical, functional, and in vivo approaches including RNA omics and bioinformatics approaches. Experience with tools of RNA sequence analysis is desired. Minimum
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research projects. Primary responsibilities will include research such as experimental design and data analysis, assistance in funding applications, and publication in peer-reviewed journals. JOB DESCRIPTION