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Field
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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
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Approach ( https://vhrz669.hrz.uni-marburg.de/ssf/ ). Understanding the mechanisms controlling subsurface flow (SSF) and the conditions under which it occurs remains a major challenge in hydrology and
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The Max Planck Institute of Immunobiology and Epigenetics in Freiburg (Germany) has an opening for a scientist in proteomics in the research group of Dr. Gerhard Mittler (https://www.ie
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digital solutions Practical programming skills, ideally in Python; experience in developing automation, interfaces, or data pipelines is an advantage Basic knowledge of data management, data modeling, and