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Masters in Mechanical, Nuclear, Materials Engineering, Structural Mechanics, Materials Science, Applied Mathematics or related field. Support the company's design-for-construction and materials qualification efforts by performing Finite Element Analysis (FEA), analytical assessment and data analysis.
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Required Qualifications Materials Science Engineering, Bioengineering, Physics, Applied Physics) or equivalent experience. Hands on experience with photolithography equipment, thin film measurement and characterization equipment, thin film deposition equipment for atomic layer deposition (ALD.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. What are we looking for in candidates.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomics & Mass Spectrometry), Infectious Disease , and Quantitative Cell Science.
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This data represents an enormous opportunity to guide drug development in a data-driven manner while advancing the science of precision medicine. Expand Pfizer leadership in oncology drug development and Pfizer contributions to advancing the science of precision cancer medicine by contributing to internal and external data readouts and presentations, as well as publications in top tier journals.
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An undergraduate degree in a quantitative discipline (Economics, Statistics, Engineering, Applied Mathematics) Knowledge of data mining and analytic methods such as Clustering / Cluster Analysis, Factor Analysis, Regression Models, Logistic Regression, Predictive Modeling, optimization models, etc.
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Our data warehouse is built using tools like BigQuery, Airflow, and dbt. The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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Proficiency in Large Language Model (LLM) inference deployment, with knowledge in relevant technologies and packages, such as ONNX, FasterTransformer/TensorRT-LLM, llama-cpp, Triton Inference Server and VLLM.Participation in Kaggle competitions focused on NLP, demonstrating your in-depth understanding of problems and data, as well as your ability to experiment with a diverse set of NLP techniques / models to find an effective solution.
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10+ years of experience in data engineering, data science, and software engineering. Experience with Databricks, Alteryx, Data integration, Data Masking tools, Access Management and Data Governance tools.
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The Manager of Data Science and Analytics role will report to the Chief Technology Officer and be responsible for leading a team of data analysts and scientists. Experience in designing and executing data science roadmaps, successfully delivering high-impact analytics and insights.
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Familiarity with SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering required. A successful candidate will have comfort and familiarity with a broad range of data analytics, analytics engineering, data science, and reporting tools and methods, as well as strengths in project management, change management, and communication among technical and non-technical stakeholders.
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Historically, the lab has focused on basic and applied research for the treatment of deafness with a focus on cochlear implantation, cochlear physiology, and genetic therapies. The Epstein Laboratory is an endowed Regents Laboratory within the Department of Otolaryngology-Head and Neck Surgery at UCSF and is devoted to hearing science.
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At Argus Labs, we are shaping the future of video games through applied research in distributed systems and game design. As an applied research lab with an integrated game studio/publisher, we are uniquely positioned to lead the way.
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A real example of how this value has been applied — we initially thought we would hit a certain revenue milestone within 1 year. A real example of how this value has been applied — We’ve had situations where the customer is unintentionally moving slower than is possible with their SEO strategy.
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Lead new data science initiatives at the VA and at UCSF, serving multiple roles as data custodian, data consultant, statistical analyst, and scientific collaborator. - Knowledge and experience with advanced statistical programming and data management using STATA, SAS, R, python, SQL or other programs.
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data science applied mathematics jobs Title: postdoctoral Company: Berkeley Lab in Alameda, CA
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