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in the Earth's outer core, with implications for deep Earth processes [1]. A variety of inverse methods (data assimilation, machine learning, etc.) has been employed to recover the fluid motions in
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LanguagesFRENCHLevelBasic Research FieldMathematicsYears of Research ExperienceNone Research FieldHistory » History of scienceYears of Research ExperienceNone Additional Information Eligibility criteria PhD in mathematics
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criteria • PhD in Physical Chemistry, Physics, or a closely related discipline • Strong hands-on experience with ultra-high vacuum (UHV) systems, infrared spectroscopy, cryogenics, and/or molecular beam
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria knowledge extraction, modeling and management; programming The expected profile is a candidate with a PhD Industrial
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and PhD students The position is based at the IBMC, located on the campus of the University of Strasbourg (close to the city center, easily accessible by public transport, with access to university
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, statistics, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology
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of Research ExperienceNone Additional Information Eligibility criteria PhD in life sciences. Experience in cell and cancer biology and in vivo models of cancer. Good mastery of bioinformatic tools. Experience
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ExperienceNone Additional Information Eligibility criteria - hold a PhD in biochemistry, biophysics, or molecular biology - have acquired postdoctoral experience in chromatin biophysics and biomolecular
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Postdoctoral researcher in the analysis of single-cell and spatial transcriptomics experiments (M/F)
train station or by car (parking available). Public transportation costs are partially covered. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7104-SOLSCH0-005/Candidater.aspx
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). • Advanced quantitative analyses (machine learning, computer vision, multilevel statistics). • Creation and use of Python code for advanced analyses. • Management and monitoring of complex transgenic lines