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processing and image representation Demonstratable experience in python for data handling and algorithm development Desirable : Knowledge and experience with imaging systems (X-ray CT, MRI or similar
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also code in R and Python, all of which will lead to their work on developing their own research question, running data analysis, writing an abstract and presenting a poster. Additional Information
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, education, and/or experience. Required Certification, Licensure/Other Credentials Preferred Qualifications Technical Expertise: Proficiency in R or Python for longitudinal modeling (e.g., Latent Growth Curve
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include cloud based Trusted Research Environments (TREs.), Microsoft Azure, SQL, Python and Git. You will be based within the Faculty of Health and Life Sciences, reporting to the CHIL CTO, and will work
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programming skills (e.g. Python or similar) and data‑workflow design; an excellent track record of research dissemination; and the ability to work effectively in an interdisciplinary and international team
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and programming skills, namely in the use of MATLAB and Python. Candidates who do not meet these requirements will be excluded. Additional optional skills and qualifications: Proven experience in
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techniques is preferred. Proficiency in programming languages such as Solidity, Python, C/C++, or Java. Familiarity with decentralized platforms (e.g., Ethereum) and related tooling is a plus. Good publication
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proficiency in programming languages (e.g., Python, C/C++), knowledge of control algorithms and/or existing architectures (e.g., ArduSub, ROS2) for autonomous navigation, and the ability to develop innovative
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microscopy Force spectroscopy Python programing Labview Research FieldPhysics » Biophysics Additional Information Eligibility criteria PhD in Biophysics Selection process Send your CV to frederic.cuisinier
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Python or R). Applicants must meet the required qualifications by time of hire. Please apply here . Applicants' materials must list current and/or pending qualifications upon submission. See Table 24B