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provides methodological support in statistical planning as well as analysis & data handling for various laboratories and research groups. The methodology group explores or develops new methodologies to help
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biology as well as epigenetics. Prior experience in cell culture is essential. Additional experience in hematology and highthroughput data analysis would be an asset. The candidate is expected to work
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purified proteins and performing related assays Experience in conducting animal (in vivo) experiments is an advantage Competence in molecular biology techniques such as real-time PCR, FACS analysis, and
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training in the frame of ELIXIR Luxembourg For further information about this position, please contact: Your profile Strong experience in data analysis environments commonly used in bioinformatics and
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content imaging, multi electrode array technology or reprogramming of somatic cells into pluripotency is necessary. Experience in computational image analysis and aging research is a strong plus. A
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be integrated with various other vision tasks—such as semantic segmentation, object detection, tracking, and motion analysis—to enhance temporal resolution and overall scene understanding. Conventional
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) Solid expertise in qualitative social research (e.g., conducting qualitative interviews, analysing qualitative data); basic knowledge of quantitative data collection and statistical analysis is an asset
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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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computational modeling and/or analysis of complex biological systems, integrating state of the art tools such as machine and deep learning approaches. Experience in managing biological databases and statistical
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Research axis of the 3IA: Axis 1: Core elements of AI (main axis) Axis 4: AI for Smart and Secure Territories (secondary axis) Supervisor (name, affiliation, email): Elena CABRIO (Université Côte