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Research Institute to work on drug target discovery and therapeutics in genomically unstable adult and pediatric cancers. The project is tackling an unmet need by identifying modality combinations
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real-time data analysis and interpretation code. Build a connection between experimental data, analytical solution and Monte Carlo X-ray scattering simulations. In collaboration with ALS Photon Science
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thermodynamics Design and implement machine learning models for data collection, reduction, analysis, and visualization. Work creatively, independently, and productively. Work as a member of a multidisciplinary
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on multi-modal data analysis and interpretation. Contribute to high-impact manuscript preparation and grant submissions. Your qualifications should include: PhD in Neuroscience, Neuropsychology, Pharmacology
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analysis. Foundation models offer a scalable and adaptable solution for medical image analysis by learning generalizable representations from large datasets, enabling effective application across different
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identifying appropriate follow-up strategies. Comfort with production, analysis, and interpretation of large multi-modal datasets Hands-on experience with cell culture and development of cell-based assays
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presentations. Clinical experience in the treatment of eating disorders (including BN and BED), across different service settings and age groups, using diverse treatment modalities. Proven ability to build and
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mineral means (e.g. chemical precipitation, peptide-driven regeneration and electrophoretic deposition). Use multi-modal, multi-scale 4D microscopy (SEM, AFM, SRCT) for the analysis of the evolution
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cluster provides shared access to state-of-the-art instrumentation across multiple imaging platforms and techniques, technical expertise, and assistance in optimal image collection and analysis
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, muti-modal, and multi-task processing/computing, for building open databases of climate data, monitoring and mitigating climate change, and predicting climate change and effects of mitigation Submission