14 modal-analysis-artificial-intelligence Postdoctoral positions at Nature Careers in France
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will be jointly embedded and interact with PhD students and research engineers of the Interdisciplinary Institute for Artificial Intelligence (3iA) TechPool, and operates in the context of international
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and implementation of data systems and analysis platforms with the platform development team (developers, data managers, scientists) Supporting strategic planning and integration of new data modalities
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are seeking a postdoctoral researcher with experience in analysis of large datasets to examine pre- and post-diagnosis healthcare utilisation among patients with cancer in Luxembourg using insurance claims data
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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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linked bioinformatics analysis Collaborate with international partners to achieve research goals Prepare manuscripts for publication in peer-reviewed journals Present research findings at national and
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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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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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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