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Familiarity with structured reasoning, chain-of-thought processes, and agent-based systems is beneficial Strong programming skills (preferably Python); experience with high-performance computing (HPC
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programming languages (e.g., Python, MATLAB, R) for complex data analysis Excellent written and verbal communication skills Ability to work both independently and collaboratively in a research setting Preferred
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• Experience with super conducting microwave circuit design of fabrication • Experience of materials and/or device modelling software • Knowledge of Labview and/or Python software. How
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EEGLAB or similar). Programming or data analysis skills in MATLAB, Python, or R. Experience conducting gait or balance experiments using forceplates or motion analysis tools. A developing publication
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proficiency in the following areas: programming languages (C, C++, Python), embedded systems prototyping, data analytics, signal processing, academic writing Application should include: Cover Letter, Statement
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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials
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experience performing neuroimaging analysis is strongly preferred. Programming: Proficiency in Python is required. Experience working in Linux environment and writing Bash scripts is also expected
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experience in chemostats, culturing of phytoplankton and/or bacteria. Strong bioinformatics skills and a proven ability to perform data analysis using programming environments such as Python or R is also
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languages like FORTRAN, C++, or Python Demonstrated understanding of spin dynamics in electron storage rings Good communication skills, both oral and written Teamwork Preferred Knowledge, Skills, and
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about new methods, is a plus. Strong programming skills in Python or R, and Linux Shell; experience in genomics data processing and open source repositories e.g. GitHub is a plus. Strong motivation and