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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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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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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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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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languages (Python, C++). Familiarity with software engineering practices such as version control, automated code testing, code packaging and containerisation. Problem-Solving: Strong analytical and problem
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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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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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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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, or Python Basic knowledge of databases (i.e., SQL) and JavaScript language is a plus Workplace Workplace We offer Starting in July or August and continuing until December 2025 with possibility to extend