Sort by
Refine Your Search
-
for acquiring data and sharing information related to the research project. PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with
-
Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with
-
: Experience with generative AI deep learning and active involvement in data science and machine learning projects. Experience in neural network architecture, cloud computing, and database development and
-
Computer Science or other related areas. Candidates will need to have completed their PhD or have it completed by the start of employment. Applicants should upload a cover letter and curriculum vitae and include
-
Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
-
informatics and precision medicine. These investments are exemplified by BioVU, a biobank of genetic material containing over 285k patient samples, and Vanderbilt’s lead role in the President’s Precision
-
and Dumbarton Oaks Garden, pool, campus events, and more. Basic Qualifications PhD in the humanities and humanistic social sciences with a focus on environmental histories. History, Architectural
-
information about AbbVie, please visit us atwww.abbvie.com . Follow @abbvie onX ,Facebook ,Instagram ,YouTube ,LinkedIn andTik Tok . Job Description Program Overview AbbVie needs outstanding individuals willing
-
Baltimore, Maryland Position Description: The Division of Endocrinology, Diabetes, and Nutrition (EDN) at the University of Maryland School of Medicine, Baltimore (UMB), is recruiting a computational