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Nobell is seeking a Computational Biologist / Machine Learning Scientist to join our team of scientists to contribute to the development of the Nobell Plant Grown Protein (PGP) platform.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Interested in learning about machine learning, biochemistry, and the drug development process. - Keep up with deep learning research, especially pertaining to graph neural nets and graph generative models, and quickly prototype ideas gleaned from the literature.
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The graduate intern will work within the computational pathology team to assist scientists on the development of machine learning approaches and refinement of existing image analysis tools.
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. , and our core team includes faculty entrepreneurs (Stanford) and industry veterans (Uber, Apple, Amazon Lab126, Rohde & Schwarz), who have successfully shepherded signal processing and machine learning innovations to large-scale software for location improvement and safety at Uber.
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Minimum Requirements: Currently has, or is in the process of obtaining a PhD or Master degree in Computer Science or a related STEM field Solid foundation in 3D math, linear algebra, computational geometry and numerical analysisDeep understanding of and experience with the latest deep learning techniques related to NLP, computer graphics and multi-modal systems.
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As a Machine Learning Automation Engineer on the Behavioral Automated Triage team, you will interrogate data at scale, perform data engineering, leverage deep learning models (i.e. foundation models and language models), and respond to the evolving data needs at Zoox.
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Industry working experience in consumer/digital health technology product development and/or research, with a demonstration of success working within and across multidisciplinary teams (e.g. project/product managers, software engineers, research scientists, machine learning data scientists.
$80 - $90 an hourFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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This role will support chromatography assay development for monoclonal antibodies, bispecific antibodies, cytokines, and antibody drug conjugates. Sutro Biopharma, Inc. is seeking a driven and talented Scientist to join our Analytical Development team as we change the future of oncology.
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The Molecular Epidemiology team supports biomarker activities by integrating real-world data and epidemiologic evidence within the biomarker discovery and development strategy. Experience in applying Client analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus.
$65 - $70 an hourExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Expert at solving technical challenges in protein characterization and assay development. Parvus’ leadership team is experienced in successful drug discovery, development, manufacturing, regulatory approval, and commercialization.
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The heart of insitro's strategy is the combination of advanced machine learning, biology at scale and molecular discovery that address bottlenecks in the drug development pipeline. insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines.
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Abbvie is seeking a highly motivated and experienced translational scientist to lead a team of senior scientists accountable for driving the development, planning, and execution of the clinical translational research and precision medicine strategy across the rheumatology or gastroenterology drug pipeline at Abbvie.
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ACHIEVEMENT GOAL: Create learning opportunities for ALL Pre-K through 8th students resulting in closing the achievement gap and culminating in personal and academic success in high school and beyond.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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learning development coordinator jobs in San Bruno, CA
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