474 gis-python "NTNU Norwegian University of Science and Technology" Fellowship positions
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Field
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communication skills and fluency in English are required. Ideal candidate will be adept at planning, prioritizing, multi-tasking, organizing, following through, and thinking on his/her feet. Knowledge of Python
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collaborative projects involving large international consortia. Our research is focused on translational research on the genomic and epigenomic characterization of various gastrointestinal cancers (GI), including
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. Substantial experience with in-vivo extracellular electrophysiology in freely behaving rats. Fluency in related data analysis (e.g., Python, MATLAB). Preferred: Expertise in one or more of the following areas
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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single, comprehensive model Independent, solution-oriented working style and interest in experimental research Strong programming skills, particularly in Python Additional Information Benefits We offer Our
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statistics, data management). Comfort handling large and diverse datasets. Strong coding skills (R and/or Python), with experience using a high-performance computing platform (e.g., Digital Research Alliance
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experiments. Interested in the challenges of the energy transition. Fluent in English (French is a plus but not required) Publications in academic journals are a plus. Proficient in R, Stata, or Python. Where
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of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 4 days ago
measurement systems, with in-depth experience in languages like MATLAB, Python, C/C++, and LabVIEW. Basic understanding of electronics and embedded systems. Methodical, rigorous, creative, and challenge
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experience of working with programming languages such as C++, Fortran and Python. Proven hands-on experience in using simulation software such as ANSYS, OpenFOAM, StarCCM+, COMSOL etc. For a full role