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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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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. Devise machine learning approaches to develop image analysis solutions for biomarker discovery in oncology, cancer immunotherapy, or immunology.
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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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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. Experience with Machine Learning and predictive analytics.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Experience with tools such as Maya, Houdini, Blender, 3Ds Max, Arnold, RenderMan, or Cycles.
$117,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Our tech:Python + Flask backend + on-machine, Protobufs for IPC and RPCReact + Typescript frontendOn-premises containerized Linux client machines and servers, Terraform + AWS backend cloudHardware-In-the-Loop build validation systemsInternally developed framework for manufacturing and testing operationsTeam Project Examples:Build and maintain a Hardware-In-the-Loop system for continuous testing of the hardware and software components of our drones and build systems.
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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. in August 2023, and have raised over $280M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Absorb machine learning literature, particularly in NLP, 3D graphics, 3D motion, and quickly prototype new techniques by engaging with relevant research papers and textbooks. Preferred Requirements: Currently enrolled in a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
InternExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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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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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Reporting to the Oncology Discovery Therapeutic Area head, you will partner with data science and machine learning (DSML), translational oncology and computational biology colleagues to gain deep insights into the biology and efficacy of antibody drug conjugates (ADCs) with the goal of delivering therapeutics to the right patients.
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Experience in applying Client analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus. Qualifications: Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master's degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
$65 - $70 an hourExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Approximately 50% of the time the employee uses a computer, keyboard, mouse, telephone, mobile phone, fax machine, copier, and video conferencing equipment. Schedule multispecialty care coordination meetings for the psychiatrist and outside medical team (e.g., PCP, neurology, endocrinology, sleep medicine.
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Bachelor's Degree or above in computer science, engineering, mathematics, machine learning, (computational) physics, statistics, or another quantitative field. Bachelor's Degree or above in computer science, engineering, mathematics, machine learning, (computational) physics, statistics, or another quantitative field.
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machine job in San Bruno, CA
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