30 parallel-computing-numerical-methods Postdoctoral positions at Baylor College of Medicine
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research methods and in-depth interviewing. Strong interest in science and technology studies (STS) and bioethics and familiarity with basic neuroscience concepts and STS theory and literature. Robust
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& Molecular Pharmacology at Baylor College of Medicine. The Robertson lab’s research focus is in combining cryogenic electron microscopy and computational biophysics methods to generate movies of membrane
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Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods/tools or machine
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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
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datasets. There will also be opportunities to develop statistical methods and computational pipelines to streamline and improve the analysis and trainees on clinically impactful projects. Job Duties Performs
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with genomics methods (RNA-seq, RIP/CLIP, ATAC-seq, scRNA-seq) Demonstrated productivity through publications or preprints Excellent communication and organizational abilities Collaborative mindset with
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, and clinicians, to advance genomic medicine initiatives. Develops and implement new computational methods and tools for the analysis of genomic data. Contributes to the writing of scientific papers and
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to numerous preclinical research projects focused on the development of novel molecular magnetic resonance imaging (MRI)-based techniques for early detection, disease phenotyping and monitoring treatment
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include high-throughput molecular biology methods and/or machine learning development. Collects, compiles and analyzes data in a high quality and detailed manner. Ensures all experimental or computational
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bioinformatics, statistics, and/or computer science. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets for clinical research, focusing on malignancies including breast