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Assistant in Python / 3D Gaussian Splatting. Become a part of our team and join us on our journey of research and innovation! Be part of change • Further development of our 3D gaussian splatting/processing
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Your Job: JuPedSim https://jupedsim.org is a platform for simulating people flows, developed in C++ with a Python API and a C interface to SUMO https://eclipse.dev/sumo/ . A React-based web
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of Tübingen and part of the Developmental Computational Psychiatry research group, which is located both at Tübingen and the Max Planck UCL Centre for Computational Psychiatry and Ageing Research in London. You
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evaluate usability of system architectures such as Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference - implementation of your machine learning pipeline in Python (using e.g
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sample collections Conduct and supervision of laboratory analyses, in particular immunological assays Data management and programming in R and Python Writing and contribution to original publications
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/automated chemistry Good programming skills, e.g., Python Very good written and spoken English skills You demonstrate a high level of commitment, initiative, problem-solving skills, and a willingness to
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programming skills in Python Experience with scientific Python tools such as pandas, scikit-learn, matplotlib, and Jupyter; experience with PyTorch is a plus Familiarity with microbiome data analysis
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of mathematical derivations — checking proofs, running numerical simulations, implementing models in Python or Mathematica, researching the relevant literature. You do not need to be an expert in all areas the QBF
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studies Proficiency in one or more programming languages (preferably Python) Independent and structured way of working Strong English skills; German skills are an advantage Our Offer: We work on the very
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, including fine-tuning techniques, RAG, and agentic workflows. Knowledge of wireless network, including WiFi, O-RAN, vRAN, and edge/cloud computing. Excellent programming skills in Python and popular