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functional theory, tight-binding theory, or valence force field methods; Proficiency in PYTHON programming environment. LanguagesENGLISHLevelGood LanguagesPOLISHLevelGood Research FieldChemistry
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, plasma proteomics, lipidomics, single-cell and spatial transcriptomics (Visium, CosMx), and DESI lipid imaging. Implement and maintain reproducible computational pipelines in R and Python following
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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, mathematical, and financial modeling skills to research tasks and analytical deliverables. Utilize R, Python, or similar programming tools to manage, analyze, and interpret large datasets. Prepare and deliver
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Engineering, or related field Strong programming skills (Python required; experience with Golang or similar is an advantage) Experience with data processing Experience in UI development for Windows, macOS
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, knowledge in computer vision and facial recognition. Good Python skills, preferably some experience with PyTorch, OpenCV, etc. Motivation to independently delve into new and current research topics. Interest
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for measurement data (preferred for plasma physics or HEP). Knowledge of Python, Matlab. Additional assets: Experience in laboratory work and knowledge of the principles of particle detectors and measurement
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mathematics, data science, statistics, computational biology, or a related field. • Proficiency in one or more programming languages, including but not limited to Python, R, C++, Stan, etc. • Excellent written
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systems analysis, VM administration, containerization, cloud infrastructure, and storage technology administration Demonstrated ability with programming or scripting in SQL, Bash, Ansible, Python, and PHP
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). For more information: https://www.cordis.europa.eu/project/id/101225380 Research focus The PhD candidate will work on one or more of the following interconnected areas: AI‑ and machine‑learning‑based