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, bioinformatics, molecular biology, toxicology, pharmacology). 2. Proficiency in bioinformatics, programming, and tools for the analysis of large genomic datasets and single-cell dataset, including R, linux, python
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. Expertise in computational neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred
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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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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 months ago
part of their research program in another field. 2. An interest in open source instrumentation development (software and/or hardware). 3. Proficiency in programming (C, C++, Java or python). 4
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the umbrella of the public sector innovation initiative at Duke University. Solid background in programming (e.g. Python) is required. The goal is to find a solutions to consider materials infrastructures in
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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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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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for handling and analysing large and complex geophysical datasets, including programming skills in languages such as Python or Matlab. 10. Skills in description, analysis and dating of sediment cores. 11. Skills