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analysis. Yet, there is a need for a comprehensive computational framework that can better integrate the information derived from both experimental and computational analyses and help chemists analyse
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events, covering adaptive and innate immune responses, in order to identify clinically relevant key elements that correlate with clinical outcome in diagnosis and treatment. Therefore, the present project
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the application of GC- and LC-MS/MS based methods for the analysis of these carcinogenic pollutants/metabolites from different chemical classes in hair, blood and urine samples. The study will also involve
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, electron and optical lithography, reactive ion etching, as well as surface treatment (ALD, CVD, …). Classical analysis via SEM, AFM, XPS, Raman will be required. Finally, quantum analysis is required in
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bioinformatics analysis and implement new tools Collect, interpret, and analyse research related data and results Ensure proper scientific documentation Document performed experiments and analyses in a lab book
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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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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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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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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