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, completing an honors thesis or senior capstone, or serving as a lead research assistant on a complex analytical project. The candidate must be self-directed and detail-oriented, with preference for those with
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, or machine-learning frameworks is an asset Strong analytical skills with a solid understanding of data evaluation, modeling, and interpretation of complex datasets Ability to work independently as
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neuroscience and digital technologies, enabling scientific progress on the most complex known systems Outstanding scientific and technical infrastructure A highly motivated group as well as an international and
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environment at the interface between neuroscience and digital technologies, enabling scientific progress on the most complex known systems Outstanding scientific and technical infrastructure A highly motivated
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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
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criteria Selection will be based on an applicant's: Potential to make a significant contribution to mental-health research and approaches Capacity to communicate complex ideas and theory, and the ability
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schizophrenia research and approaches Capacity to communicate complex ideas and theory, and to undertake research in a clinical setting. The selection of applications for the award is undertaken by an assessment
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, chromatographic separation, or bioassay-guided fractionation. Experience analyzing complex biological data, including dose–response modeling, statistical comparisons of treatment effects, and integration
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complex concepts in a clear and understandable manner. Familiarity with research methodologies, data analysis, and literature review. Strong interpersonal skills for interacting with students, faculty, and
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complex concepts in a clear and understandable manner. Familiarity with research methodologies, data analysis, and literature review. Strong interpersonal skills for interacting with students, faculty, and