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Field
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of fulltime research experience in data analysis and machine learning to include at least three years of research experience following the attainment of a Doctoral Degree. * Proficiency in Python, R, or similar
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experimental setups, which includes: Creation of hardware-related software tools for experiment control using Python. You will establish a reliable software framework for the use of experimental equipment
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, to provide in-depth technical support in data science, artificial intelligence (AI) and research software engineering. Team members are assigned to multiple long- and short-term research projects from across
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multiple projects, leads a team of statisticians, and ensures methodological rigor. Plays a key role in strategic planning, project management, and the integration of statistical analyses into research
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accurate documentation. Ability to independently prioritize tasks when faced with multiple projects and requests. Commitment to expanding, improving, and promoting library services. Desired Qualifications
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. ● Proficiency in Python, R, or similar programming languages. ● Demonstrated ability to integrate and analyze diverse data types, including but not limited to: ○ Neuroimaging (e.g., fMRI, PET, DTI
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multiple techniques. This will allow researchers to visualise and ‘manually weight’ different types of information from different sources globally and locally across a macromolecular structure, and pipe
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-resolution imaging, hyperspectral imaging, and single-molecule tracking. The ideal candidate has experience designing and implementing optics hardware (ideally microscopes), is fluent in Python and/or LabView
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and programming languages (e.g. R, python) and HPC Excellent interpersonal and communication skills across clinicians, wet-lab, and computational teams Desirable criteria Experience supporting
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levels depending on their qualifications. Key Responsibilities: Conduct deep and thorough review of subject literature. Import datasets into a variety of software applications including R, SAS, and python