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interpretation of experiments in close collaboration with the genomics and bioinformatics platforms at the Paris Brain Institute. They must be able to interact with research teams and discuss results in both
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-IRMS, and isotopic approaches to quantify nitrogenase activity Bioinformatics ->Omics data analysis, metabolic networks Scientific and technical skills required of the candidate The candidate must have
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conferences as well as contribute to manuscripts, grant applications. Desired profile Education and Skills PhD (or MSc with significant experience) in Bioinformatics, Computational Biology, Biostatistics
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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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functional switch) You prepare samples for proteomics and will be introduced to bioinformatics bioanalysisry. Where to apply E-mail job-ref-669awhmukl@emploi.beetween.com Requirements Research FieldBiological
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scientific departments, IRISA is a laboratory of excellence whose scientific priorities are bioinformatics, system security, new software architectures, virtual reality, big data analysis, and artificial
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sterile techniques and basic microscopy. Experience with molecular biology techniques (e.g., DNA extraction, PCR, bioinformatics) or flow cytometry is an advantage. The candidate should be proactive and
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: • Master's degree (MSc) or engineering diploma in computer science, applied mathematics, bioinformatics, biomedical imaging, or related fields. • Basic knowledge of cell or developmental biology is a plus but
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the Bioinformatics Core Facility and Head of the ELIXIR-Luxembourg Node. Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should
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imputation for mixed-type data. Bioinformatics, 28(1):112–118, 2012. Yusuke Tashiro, Jiaming Song, Yang Song, and Stefano Ermon. CSDI: Conditional score-based diffusion models for probabilistic time series