63 parallel-processing-bioinformatics research jobs at Conservatorio di Musica "Santa Cecilia"
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language processing (NLP) to augment clinical decision-making and expand access to high-quality healthcare. Our lab develops new methods to improve model trustworthiness and leverages heterogeneous clinical data
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(intracranial and scalp EEG) and MRI data sets. Develop and implement algorithms for data processing and interpretation. Collaborate with clinicians and researchers to design studies and analyze results. Present
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term with possible extension Appointment Start Date: ASAP, a date will be confirmed once selected to move forward with appointment processing Group or Departmental Website: http://med.stanford.edu
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and Centers: Surg: Transplantation Surgery Postdoc Appointment Term: 1 year (renewal) Appointment Start Date: 2/2025 Group or Departmental Website: https://med.stanford.edu/kramsmartinezlabs.html (link
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opportunity to work on computational research related to one (or more) of the following areas: coastal dynamics (surf-zone to shelf), submesoscale processes, kelp-current interactions, or marine carbon dioxide
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. (Applicants advancing in the review process may be asked to submit additional materials, including letters of recommendation, and may be invited to interview.) Complete applications will include: Cover letter
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starting Fall 2025. (Applicants advancing in the review process may be asked to submit additional materials, including letters of recommendation, and may be invited to interview.) Complete applications will
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Cancer Registry, as part of the national SEER registries. The postdoc fellow will work closely with statisticians, computer scientists, oncologists, and epidemiologists in the lab and other collaborating
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Departments and Centers: Surg: General Surgery Postdoc Appointment Term: One year plus option for extension. Appointment Start Date: April 1, 2025 How to Submit Application Materials: dirbas@stanford.edu (link
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-quality data collection and processing, with opportunities to explore scientific questions at the interface of neuroscience and AI in collaboration with theory and modeling teams. What We Offer A