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Max Planck Institute for Gravitational Physics (Hanover), Hannover | Hannover, Niedersachsen | Germany | 4 days 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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). ▪ 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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usual scripting and analysis tools (e.g., Python, Mathematica, Matlab). Other Valued Skills First hand direct experience in the micro/nanofabrication of magnetic tunnel junction nanodevices is highly
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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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, curiosity, and motivation to succeed DESIRED REQUIREMENTS Programming experience in MATLAB, LabVIEW, and/or Python Compensation, Benefits and Position Details Pay Range Minimum: $52,692.00 annual Pay Range
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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
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efforts and contribute to publications in reputable academic journals. Qualifications: A PhD in Civil and Environmental Engineering or a related field High proficiency in programming languages (e.g., Python
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-temperature conditions. Proficiency with data analysis tools and scientific programming languages (e.g., Python, MATLAB, LabVIEW). Commitment to safe laboratory practices and familiarity with experimental risk management
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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