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languages to collect research or QI data from clinical systems. Works with investigators to design and implement data cleaning and analysis methods using Python, MATLAB, R, or other languages. This includes
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methods, Mathematical optimisation techniques, Physics-informed neural networks, Scientific programming in Python, MATLAB or equivalent, Analysis of complex multi-modal biomedical datasets Skills Essential
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people. By embracing diversity, we believe science can achieve its fullest potential. THE ROLE The iCub Tech Facility (https://www.iit.it/research/facilities/icub-tech ) at the Istituto Italiano di
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Max Planck Institute for Gravitational Physics (Hanover), Hannover | Hannover, Niedersachsen | Germany | 3 months ago
. Ability to work independently and collaboratively in a technical team. Experience with data analysis tools (e.g., Python, MATLAB) is an advantage. Familiarity with precision measurement systems or ECSS
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systems under various jamming scenarios (single‑tone, multi‑tone, frequency‑hopping, pulse, and arbitrary jamming). ▪ Using MATLAB and tools such as the Remcom Ray Tracing Suite to model realistic
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. – Use of machine learning techniques for economic analysis. – Use of economic analysis and programming software and environments: MATLAB, Python, R, SQL, Stata, SPSS and similar software employed in
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Applicants with an interest in human
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skills include solid competency in programming (e.g. Python, Matlab, C++, etc) for data analysis and control of experimental setups, experience in micromagnetic or multiphysics simulations, and knowledge
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» HydrologyEducation LevelMaster Degree or equivalent Skills/Qualifications Technical Skills: Scale experiments: batch experiments, canals, experimental wetlands. Data analysis and quality control: QA. Python or MatLab
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. MatLab. Python. Specific Requirements Knowledge: Artificial Intelligence. Georeference Systems. Numerical models. Professional Experience: In collaborations with research organizations related