Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
oversee and develop algorithms for analyzing ensemble genomics data, single cell genomics data, single cell merFISH and sequential oligopaints imaging data, as well as novel molecular connectomics data
-
methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
-
via bitbucket). Backup code on bitbucket and oversee the revision of the code to integrate with other algorithms. Algorithm development initially will involve solving problems such as: (1) base calling
-
figures of lab members. Candidate will train on the lab’s fundamental algorithms and run them in a collaborative manner with other team members to generate paper figures and make discoveries. Collaborative
-
• Produce research products such as well-documented algorithms and code, software, and research publications • Prepare results for publications, work with collaborators in writing publications, and, in some
-
& Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in
-
Participates in patient rounds, conferences and committees Actively participates in the development and maintenance of patient management algorithms and standing orders. Documents patient care data in Epic in
-
Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
-
iteratively refine algorithms to ensure scalability, reproducibility, and biological interpretability. Behavioral Representation Learning and Temporal Modeling (30%) Build canonical behavioral embeddings
-
experience in evaluating, architecting, and integrating AI solutions, preferably in a consulting, academic or research environment. Hands-on experience with AI algorithms, machine learning, natural