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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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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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., 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
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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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and quantitative science. Fluency in English, both verbally and written, and good communication skills are a must, as is experience with a higher programming language (e.g., Fortran, C, R, Python). You
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knowledge of R/Bioconductor and/or Python Working experience with GNU/Linux operating system Enthusiastic about statistical and bioinformatics data analysis Strong communication skills and a team-oriented
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such data; hands-on experience in scaling up and/or parallelizing codes on HPC systems using languages such as e.g., C/C++, Fortran, Python; solid knowledge of parallel programming models (e.g., MPI, OpenMP