Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. Reviews study database to make sure all data has been entered. Running developed scripts from image processing and analysis under PI and Postdoc fellow supervision. Assessing basic cognitive function and
-
, the representation and processing of social information in patients with psychiatric conditions remain largely unclear. We use a suite of cutting-edge techniques, including in vivo multi-photon imaging, fiber
-
Position Summary The postdoctoral fellow will develop artificial intelligence applications to support characterization of medical data with a focus on radiology image, radiology reports, and
-
to obtain the corresponding enantiomerically pure isomers from racemic mixtures. The candidate will receive training for conducting radiosynthesis of potential PET imaging probes and validating new PET probes
-
excellent at training new users of HCP-Style brain imaging methods. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https
-
a novel multi-omics approach that integrates high-throughput imaging and machine learning methods with CRISPR/Cas9 screens and saturation mutagenesis to answer central questions about the
-
Position Summary Postdoctoral Research Associate in Molecular Imaging and Therapy A postdoctoral research position is available at Mallinckrodt Institute of Radiology (MIR), Precision
-
of Genetics and Otolaryngology-Head and Neck Surgery. Our research is dedicated to describing and investigating the mechanisms underlying tumor heterogeneity in head and neck cancers (squamous cell carcinoma
-
circuits. We pursue a multi-disciplinary approach integrating data across biological scales in the brain, including molecular Chromosome-Conformation-Capture sequencing technologies, single-cell imaging
-
. The successful candidate will be a member of a highly interdisciplinary team including oncologists, biologists, engineers, and imaging scientists. The candidate will develop computational models of human disease