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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms
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related field and have a strong background in fMRI data analytic techniques. Computational and quantitative skills are highly desirable. While there will be opportunities for data collection and assessment
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10 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire Hydrazines et Composés Energétiques Polyazotés Research Field Engineering Chemistry Physics Researcher Profile First
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ExperienceNone Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria -training in organic chemistry -experience in synthetic organic chemistry -training in analytical
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14 Apr 2026 Job Information Organisation/Company CNRS Department Institut Terre Environnement Strasbourg Research Field Geosciences Biological sciences Researcher Profile Recognised Researcher (R2
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Bingen am Rhein, Rheinland Pfalz | Germany | about 11 hours ago
related field Strong experience in fMRI data analysis, (e.g. using SPM, FSL, fMRIprep) Strong programming skills in MATLAB and Python Good knowledge of statistical analysis in R Strong analytical and
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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The project involves a combination of optical imaging, nanofabrication, data analysis, and
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://doi.org/10.1126/sciadv.abh1275 ; highlighted by @NCIgenomics as the #1 favorite paper of the year), Analytical Chemistry (https://doi.org/10.1021/acs.analchem.4c05138 ), and Cancer Letters (https
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22 Apr 2026 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Environmental science » Global change Sociology » Social changes Sociology » Sociology of enterprise
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. The analytical data is currently preliminary and incomplete. You will work with the unpublished dataset, identify data gaps and to carry out new analytical work needed to fully understand this magmatic system and