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/ researchers and 138 engineers and technicians), 46 staff on fixed-term contracts and 102 doctoral students. For more information, do not hesitate to consult the IPHC website: http://www.iphc.cnrs.fr
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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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the French project BIBLISSIMA+ (https://projet.biblissima.fr ), and the ERC Synergy MIDRASH (https://www.midrash.eu ). The eScriptorium project itself involves North American and European teams and aims
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) • Solid programming skills (Python, PyTorch or similar) Highly valued: • Knowledge of one or more of: federated learning / distributed systems, privacy-enhancing technologies, cryptography, cybersecurity
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) Experience with programming languages (ideally Python) Fluent in written and spoken English Very independent and self-motivated way of working but also excellent teamwork skills High motivation to take on
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familiar with data analysis using programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong
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, plasma proteomics, lipidomics, single-cell and spatial transcriptomics (Visium, CosMx), and DESI lipid imaging. Implement and maintain reproducible computational pipelines in R and Python following
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experiment on a metric-scale concrete wall, using the multi-physics NDE probe integrated onto drone platforms. Expected Results A Python-based multi-physics Maching Learning framework for NDE characterization
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Questionnaires, Body Weights). · Data analysis and visualization skills (Power BI, Excel, R, Python, etc.). · Previous interdisciplinary work and communication within a comprehensive high-performance environment
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the infrared spectral region experience with programming for data analysis in Python and experimental control in LabVIEW ability to work both independently and collaboratively with other researchers Additional