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yourself further with scientific software packages (e.g., scripting languages, GIS software, MATLAB, Python, R, Stata, etc.). Enjoyment of scientific work. Ability to work in a team, have problem-solving
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on such hardware. Several technologies are considered for running on GPUs, compiler directives which are inserted in the code, or for some parts a complete re-write using a Python domain specific language (DSL
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institutions, to build a framework for discovering, sharing and executing data and algorithms in a distributed environment. The main technology will be Python, though Scala and Typescript knowledge are a plus
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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
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look for a student with proficiency in both C++ or RUST as well as Python. Python routines exist already to do the mentioned tasks for full matrices, but the following needs to be considered
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React and TypeScript, assisting with Python-based agent pipelines, and testing tools for recognizing handwritten math, diagrams, or code. You’ll also support us in maintaining clear documentation and
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experience in battery research and proficiency in Python programming is an advantage, but not a requirement. Our offer You will join a dynamic young international research group working in state-of-the-art
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automating the detection of individual tree species in forests using deep learning. Specifically, you will: Focus on the application of deep learning techniques in Python to process spatial and aerial data
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information and validating component lists. Matching BOMs with manufacturer and trade data from the Pharmaceutical Supply Atlas. Writing Python scripts for data extraction and preprocessing. Collaborating
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., with Python) Have taken courses in optimization, machine learning, or similar Be fluent in spoken and written English Not required, but a plus to: Have experience with energy or transportation modeling