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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 14 days ago
in Python, especially scientific libraries (NumPy, SciPy) and simulation frameworks (Brian 2, NEST). Ability to work autonomously and in interdisciplinary teams. Good scientific writing (English) and
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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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independent research interests. Your profile Required: PhD in Marketing/Business/Analytics (or a related field); strong statistical background; proficiency in Python; fluent English. Preferred: experience with
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LabVIEW scripts and APIs for target-specific applications, working with data acquisition (DAQ) systems, and proficiency in MATLAB, Python, and LabVIEW. Capable of working independently and as part of a
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related field) with a specialization in image processing and machine learning. They should demonstrate strong algorithmic programming skills (in Python, and possibly C++) and be comfortable working with
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Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork
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stakeholders Design and implement evaluations of innovative programs Data analyses and modeling using Python/R/or similar programming languages Co-author research papers on the results of student learning
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source level with Python and MNE-Python - Pipeline development in Python and MNE-Python - Articles preparation, presentations and workshopsmantenimento di codice open source. The position is hosted
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++, and/or Python • Skillful in oral and written communication as demonstrated by publications. Preferred Qualifications: • pTx RF pulse design and B1+ shimming optimization, pulse sequence development
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with neuroimaging analysis software Strong quantitative and analytical skills, including experience with statistical software (e.g., R, Python, MATLAB). Excellent written and verbal communication skills