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Field
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interpreting large datasets using statistical programming languages (e.g. R, Python etc.) Proven independent working style, technical problem solving, data analysis and generation of novel ideas Proficient
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part of change Conception of novel stochastic source coding techniques based on channel simulation Development of numerical Python code for evaluation Optimization and refinement of these techniques in
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knowledge and proven capacity of data analytics and machine learning. *Excellent programming in Python, R, SQL. Have experience with tools such as Google analytics, AWS, Looker, Tableau, or similar
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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | about 6 hours ago
development, or quantitative MRI (e.g., Python, MATLAB). Strong motivation to work in an interdisciplinary, cross‑species framework. Excellent communication skills and the ability to work within an
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problem-solving skills and working knowledge or ability to learn languages commonly used in engineering (MATLAB, python). PREFERRED: Experience teaching subjects relevant to the curriculum. This is a one
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 1 day ago
data, OD matrices) Programming skills for scientific computing (Python, MATLAB, or similar) Familiarity with applications in mobility systems, transportation, or energy systems (e.g., electric vehicles
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 13 days ago
, astrophysics, or a related field. Experience with numerical methods and scientific programming in Python, Fortran, C, or similar languages. Experience with turbulence, rotating flows, convection
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with large-scale data construction and empirical research • Programming skills (R, Stata, or Python) Applications should be sent by e-mail, together with significant documents, indicating the reference
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 11 hours ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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research and developing decision support systems. The candidate would also assist in writing python/R programming scripts to optimize processing time, making the current decision support systems more