Sort by
Refine Your Search
-
quantitative and computational background Experience in one or more of the following areas is preferred:CT or other tomographic image reconstruction, medical image analysis, machine learning or deep learning
-
, program improvement, implementation, and systems transformation efforts. • Identifying, refining, and operationalizing measures that reflect outcomes and experiences meaningful to families, providers
-
degree (PhD or equivalent) in Statistics or Biostatistics. Solid training in statistical methods. Experience analyzing clinical trial data. Excellent written and verbal communication skills. Strong
-
, Physiology, Biology, or a related field. Experience conducting independent research in neuroscience or a related discipline. Demonstrated experience with experimental design, data analysis, and scientific
-
contribute to collaborative scientific initiatives. Excellent analytical, communication, and problem-solving skills. Preferred Qualifications Experience working with multimodal data sources such as video
-
of epidemiologic methods, observational study design, cancer outcomes research, population health, and health disparities research. Experience analyzing large secondary datasets, claims data, registry data, EHR data
-
Qualifications:. PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science or a related field. Experience in at least one of the following
-
., or equivalent degree in biology, genetics, genomics, molecular biology, cell biology, computational biology, bioinformatics, immunology, bioengineering, or a related field. Candidates with experience in genomics
-
cancer models and patient-centered translational approaches to define mechanisms that regulate treatment response, immune evasion, and disease progression. Candidates with experience in cancer biology
-
conduct research studies involving patients undergoing SEEG monitoring. Design and implement intracranial electrical stimulation experiments to investigate neural mechanisms underlying epilepsy and sleep