693 python-"https:"-"BCAM-The-Basque-Center-for-Applied-Mathematics" Postdoctoral positions
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Appointment Term: 2 years Appointment Start Date: July 1, 2026 Group or Departmental Website: https://ed.stanford.edu/faculty/ksadow (link is external) How to Submit Application Materials: Fill out
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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cancer biology, molecular/cellular biology, genomics, or immunology with expertise in gene editing technology and NGS; flow cytometry and cell sorting; and bioinformatic and data integration, R/Python
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site. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7648-EDOBOU-049/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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analyzing single-cell transcriptomic data using Python. Strong skills in analyzing epithelial tissue dynamics. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR3215-YOHBEL-023
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or 2 years based on performance. Applications, including a CV, a statement of research interests, and three letters of reference, should be submitted through the application portal located at: https
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include MATLAB, Labview, Python and/or C++. Requirements: PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability
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and/or performance. Appointments include conducting research or project management under the direction of a faculty member. Examples of current and past projects can be found at http
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T cell biology or cancer immunology, and programming skills (R, Python) for data analysis. Please also read recent manuscripts published in the last two years 2024 Nature: (https://www.nature.com
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. Recognised Researcher position has been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning