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previous experience in theoretical quantum optics and quantum information, as well as strong skills in writing scientific papers. You are proficient in at least one common programming language such as Python
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: R, Python, QGIS. You demonstrate : • autonomy, • organizational skills, • rigor, • ease in communication, • strong capacity for synthesis. Finally, you are comfortable with project follow-up and the
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
/She should have knowledge on stochastic parameterization. She/he must have a good knowledge of Fortran, Python, Pytorch. Specific Requirements The candidate will work within an international
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or psychology, with strong programming skills, ideally in Python. Previous experience with ideally fMRI, computational modeling. You will be responsible for analyzing fMRI data and disseminating results in
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experience with iPSC culture and/or neuronal differentiation protocols. Mass spectrometry-based proteomics and single-cell omics workflows. Data analysis of large single-cell omics datasets (R and/or Python
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. Identification and analysis of dissolution, passivation, and interfacial reaction mechanisms at material/electrolyte interfaces. Use of scientific programming tools for data analysis and visualization (Python
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experience with statistical software languages (R, Stata, or Python). Leadership and excellent communication skills, with strong adaptability and initiative skills. Excellent English proficiency. Specific
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background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and experience with existing single-cell methods and
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a