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imaging, both in vitro and in vivo. Develop, optimize, and maintain image analysis scripts and tools using Matlab/Python/LLMs (segmentation, quantification, post-processing), in line with the needs
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Max Planck Institute for Gravitational Physics (Hanover), Hannover | Hannover, Niedersachsen | Germany | 1 day 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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of warming, nutrient enrichment and species invasions using size- or stage-structured population models (e.g., in R, Matlab, or Python). Writing scientific manuscripts and presenting findings at conferences
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). ▪ Simulating ISAC 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
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semiconductors. You should have experience working in a laboratory environment, along with basic programming and data analysis skills (Python, MATLAB, LabVIEW). High motivation, very good English or German skills
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) systems. Proficiency in MATLAB, Python, and LabVIEW programming languages is essential. Demonstrated research experience with a strong record of peer-reviewed publications in fluid dynamics, turbulence, air
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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. Interviews for this studentship
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or equivalent Skills/Qualifications Technical Skills: Python. C / C++. ROSE. MatLab, Solidworks, AutoCAD, ANSYS. Specific Requirements Knowledge: Development of the software stack for robots. Integrating
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, XPS/AFM, electrical probing; DoE/statistics (Python/Matlab a plus). Strong documentation, safety discipline, and clear communication in English - essential for data analysis and communication with
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reviews to guide experiment design and identifying emerging methodologies. Processing and analyzing large experimental datasets using scientific computing tools (Python/Matlab). Maintaining laboratory