146 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Baylor College of Medicine
Sort by
Refine Your Search
-
, and other methods. Collects data using cameras, sensors, and data acquisition systems. Prototypes, troubleshoots, and fine-tunes machine learning models for outcome predictions relevant to surgery
-
implements machine and deep learning programs. Develops algorithms to deconvolve RNA-seq data and compare them to AI-based methods. Performs follow up validation efforts on cell lines. Minimum Qualifications
-
Schedule: Flexible Summary The intern will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in our cluster computers. Overall, the position will offer
-
research protocols and procedures, including in computational tasks where data visualization, preprocessing, or interpretation can be improved. Devises and deploys custom machine learning approaches where
-
of robotics instrumentation, building, designing, and testing automated systems to improve operational processes, utilizing AI-based machine learning models to ensure smooth running of diverse protocols, data
-
expertise in machine learning (ML) and natural language processing (NLP), particularly in applying LLMs to complex, unstructured clinical data. The successful candidate will become part of our dynamic
-
platforms include GRO-seq, RNA-seq, ChIP-seq, ATAC-seq, CRISPR-seq, single-cell RNA/ATAC-seq, microC, machine learning, sophisticated mouse genetic tools, and an ex vivo tissue culture system from patients
-
candidates with a proven track record in developing open-source machine learning, deep learning, or cheminformatics tools (Preferred written in Python). Job Duties Plans, directs and conducts research
-
the Texas Children's Cancer Center. The project aims to develop and test novel CAR-redirected immunotherapy for pediatric solid tumors. In particular, we want to design and test a regulated PRDM1 knockdown in
-
, during, and after their military service, and any of these violent experiences may have resulted in brain injury. Because these types of experiences are rarely reported, it is likely that these brain