94 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "U" PhD positions in India
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analysis in cryo-electron tomography data, applied to chromatin organization and synaptic molecular targets. Please include a cover letter with your application. Describe a deep learning project you have
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[email protected] or visit our website at: https://orise.orau.gov/em-stars/ . Qualifications Applicants must meet the following requirements: Be a U.S. citizen at the time of application (proof
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innovative research and achieve decisive progress. Further details on NCCR Genesis are available on its website https://nccr-genesis.ch . Job description The successful candidate will investigate the
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Technologies Programme (FHT1) at the Singapore-ETH Centre (SEC) (https://fht.ethz.ch)developed and piloted innovative upper limb rehabilitation technologies and evaluated them in a clinical context, both
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problems. Project background The increasing availability of multimodal health data, coupled with advances in AI, offers new opportunities to deliver personalised, scalable behavioural interventions in
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, growth and mechanics. Our group combines quantitative imaging data with mathematical and computational models to understand how tissues self-organise and how this process goes wrong in disease. We
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publications. The successful candidate should have experience in large-scale analyses of protein-RNA interactions. Experience applying deep learning to genomic sequence data, including fine-tuning of
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capable of estimating anatomical, mechanical and electrophysiological parameters from large imaging datasets while addressing the challenges of limited patient-specific data and uncertainty in model
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-relevant questions. We work with macroeconomic, microeconomic, firm-level, household, geospatial and international datasets and apply modern econometric methods, including panel-data, time-series and causal
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mentor in the Department of Neurology; plans, designs, and executes experiments of considerable scope and complexity in the assigned research laboratory; collects and analyzes data for research