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skills: e.g. MS Office, JASP, R, Python, MATLAB,... You should be a team player with high social skills Additional Information Benefits What we offer: Inspiring working atmosphere: You are a part of an
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. Responsibilities include statistical analysis, data scraping, and literature reviews, using tools like Stata, MATLAB, Python, and R. Ideal candidates should have a strong quantitative and programming background
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. Certifications/Licenses Required Knowledge, Skills, and Abilities Laboratory or experimental research experience Experience with common programming languages (e.g., Python, Matlab) Experience working with big data
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). Proficiency in data acquisition and analysis software (e.g., pClamp, Spike2, AxoGraph, MATLAB, or Python). Preferred Qualifications Education: No additional education unless stated elsewhere in the job posting
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. Knowledge of LabView for developing programmes for data acquisition, data analysis, and flow control. Proficiency in CAD software. Programming skills in Python and knowledge of MATLAB, Tecplot, or similar
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productivity is desired. • Computational skills (e.g., MATLAB, Python, R, etc.) • Experience with research design, development of research hypotheses, and methods to test them Knowledge, Skills
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Solid skills in statistical modeling & probability theory Experience in coding (Python, R, Julia, Matlab...) Motivation to work closely with experimental researchers Curiosity about biological systems
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linear algebra, and algorithm design. Proficiency in Python and/or MATLAB; familiarity with numerical optimization libraries and scientific computing. Strong written and oral communication skills; ability
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Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development
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, instrumentation, and performance measurement. Experience in processing environmental data (Python, R, MATLAB). Interest in integrated approaches (energy–environment–biodiversity). Skills in UAV data analysis