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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 30 minutes ago
and modelers to use the optical constants in the analysis of observational data from, e.g., Hubble, Spitzer, JWST. Candidates are expected to be proficient doing data reduction and analysis using Python
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
program. The aim is to use Python code to identify the machine learning profile used in order to identify good and bad practices. The objective of this position is to develop a Python parser, a tool for
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skills in Python and/or R; experience with Linux/HPC environments is an advantage Experience with genomic data analysis, high-performance computing, GPU programming, or software development is a plus
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understanding of how clinical data science and machine learning impact healthcare data in addition to guidance on programming methods to process data. Basic programming skills (Python or R) and knowledge
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 days ago
regarded, as will proficiency in Python, Julia, or RStats, and experience in industry engagement. To excel in this role, you will be a self-starter who has demonstrated experience in project management and
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/R/Python/SPSS). Demonstrated experience conducting semi-structured interviews with a diverse range of employees and employers. Role Requirements: As this is a fixed-term contract, you will require
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Cancer Institute seeks a Research Fellow to focus on next-generation, translational pathology studies who will work within the Wolpin-Nowak laboratory (https://labs.dana-farber.org/wolpin-nowaklab/) as
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, kinematics, dynamics, control and manufacturing) Robotics and embedded systems Programming skills (particularly in C++ or Python) Simulation Experience with automation hardware and software. Strong mathematics
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, thermodynamics, modelling; and/or ML/AI, data science, statistics, image analysis, scientific programming (Python/R/Julia), HPC; Strong motivation for interdisciplinary research and international collaboration