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E.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering). e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering.
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We are open to hiring candidates to work out of one of the following locations:Bellevue, WA, USABASIC QUALIFICATIONSPhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience.
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We are a multi-disciplinary team of experienced scientists, combining state-of-the-art approaches in computational biology, functional genomics, high-throughput imaging, translational models, and drug discovery.
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Do you have competency in using design software such as Revit and familiarity with computational analysis tools for electrical fault analysis and lighting design. Familiarity using computational analysis tools such as electrical fault analysis and lighting design software.
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The Director of Anatomic Pathology will collaborate with and report to the Chief of the Department of Laboratories at Seattle Childrens to guide and grow the service and to adapt to the changing field of anatomic pathology including in areas such as digital/computational pathology and further integration of molecular diagnostics.
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The right candidates will have strong software engineering skills, and be passionate about machine learning, computational science and hardware. Familiar with network optimization algorithm including quantization, sparsification, experience with knowledge distillation or NAS is a plus.
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Drive continuous improvements to engineering excellence and efficiency, lead research & development into key areas of optimizations for backend systems and services, including data security, systems architecture, and computational efficiency & scalability.
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We're looking for candidates with polished coding skills as well as passion for machine learning and computational science. Key Qualifications: Strong Python programming skillsUnderstanding of data structures, software design principles, and algorithmsExperience with one or more deep learning frameworks, such as TensorFlow and PyTorchHands-on experience developing machine learning solutionsFamiliarity with DNN training algorithmsDescription: We're looking for strong machine learning engineers to help build a next-generation framework for training deep learning models.
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Work within a truly multidisciplinary environment, capitalizing on our extensive knowledge base in CFD, building physics, micro-climate analysis, climate change mitigation and energy master planning to inform truly environmentally responsive MEP designs.
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Experience with Computational Fluid Dynamics (CFD) (Flow3D, CFD. Experience with Computational Fluid Dynamics (CFD) (Flow3D, CFD. Active/passive Thermal/Pressure Control System/component design.
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Experience using common computational biology methods, tools, and data resources. This Scientist level position will focus on the experimental data generation and computational analysis of application-appropriate modern genomics and spatial transcriptomics data to integrate these analyses with other, primarily image-based, assays, (e.g., multiplex protein patterns, live intracellular dynamics, etc.
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You will work collaboratively with biologists, computational scientists, and other drug discovery team members. Demonstrated ability to work collaboratively with researchers from diverse fields, including computational and experimental biologists, and provide scientific guidance, support, and leadership as needed.
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Technical Bachelor’s degree or higher in a quantitative field such as computer science, statistics, mathematics, operations research, bioinformatics, economics, computational biology, physics, or chemistry.
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Our Compute Platform Engineering team is building a first-in-class platform of toolchains and workflows that accelerate application development, scale up computational experiments, and integrate all computation with project metadata, logs, experiment configuration and performance tracking over abstractions that encompass Cloud and High-Performance Computing (HPC.
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MS or PhD in bioinformatics, computational biology, genetics, or related field, or equivalent combination of degree and experience. Review emerging assays and computational techniques to keep the team current and to extend our capabilities into new areas.
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computational job in Seattle, WA
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