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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 9 hours ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09697 Requirements Skills/Qualifications Technical skills and level required: Good skills in Python programming and/or C++ Good skills in Linux
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Infrastructure? No Offer Description This project is part of the European ERC Synergy project Karst https://erc-karst.eu/ , which aims to develop a predictive flow model for an entire karst network. We will
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in data science and machine learning, encompassing the application of statistical methods, the creation of predictive models, and the development of machine learning algorithms. Proficiency in Python
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design and identifying emerging methodologies. Processing and analyzing large experimental datasets using scientific computing tools (Python/Matlab). Maintaining laboratory instrumentation. Preparing
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to paired cortical?spinal stimulation and by building a researcher-friendly GUI around our existing Python library hbMEP. Responsibilities Developing analysis pipelines for electrophysiological data from rats
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Part-Time Lecturer for IE2108 Data Structures and Algorithms in Python The School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University, Singapore, invites qualified
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, superconductivity, quantum optics, growth (MBE) etc. – http://www.insp.jussieu.fr/.  ; Our team has developed an expertise in magnetoacoustics on various systems, take a look at our webpage: https://w3
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A post-doctoral Research Associate position in Neurocomputation is available to work with Prof Zoe Kourtzi at the Adaptive Brain Lab, Univ of Cambridge, UK (http://www.abg.psychol.cam.ac.uk ). Are
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website: https://medschool.cuanschutz.edu/accords. The successful candidate will assist with study and instrument design and data coordination, conduct data cleaning and analysis of primary and/or secondary
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workflows using SQL, Python, and related tools. Use cloud-based data tools (e.g., OCI, Azure) as needed for data processing and analysis. Ensure compliance with data governance standards and maintain metadata