142 machine-learning-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at Baylor College of Medicine
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parents in the laboratory or home environment, executive functioning test administration, and record keeping. Learn basic lab procedures, including assessment of circadian rhythms via salivary melatonin
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, 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
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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
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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
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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
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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
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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
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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
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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
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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