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The Department of Computer Science of the University of Texas at Austin is recruiting for full-time, professional track faculty (Lecturer, Assistant Professor of Instruction, Associate Professor of Instruction, Professor of Instruction) positions.
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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. Use of statistical models including experience with regression, classification, clustering, NLP, and computer vision.
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Familiarity with: Zero Trust Network Access (ZTNA) and Secure Access Service Edge (SASE) frameworks, Identity, Credential, and Access Management (ICAM) (OKTA), Cloud Workload Protection Platform (CWPP), Security Operations Center (SOC) Operations, Vulnerability Threat Management, and Compliance Formal Education Master of Science degree (or higher) in one of the following: computer science, electronics engineering, computer engineering, computer science, information technology, or cybersecurity.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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What We Prefer:Bachelor’s degree in Computer Science, Information Technology or Engineering related degreeWorking knowledge of Autodesk and Bentley CADD applicationsExperience in a wide variety of CADD application and production environments and workflows.
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Master’s Degree in Museum Studies, Public History, History, Earth Science or related field preferred. The Executive Director of the Texas Energy Museum is responsible for the operations and programs of this science and history museum in Beaumont, Texas, that focuses on petroleum energy.
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We are building a development team with world-class talent to create a new science fiction universe for our first multiplatform roleplaying video game. Assist with project database management (workflow, bug entry, and regression.
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PhD or MSc degree in Computer Science, Applied Math, or related science or engineering field is preferred or equivalent experience. Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications of these technologies include LLMs, Computer Vision, Encryption, autonomous vehicles and countless others.
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Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.
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Join the implant embedded systems team and be part of an elite team of engineers working on high-performance, safety-critical devices for the next-generation brain-computer interfaces. You will be working on all phases of board design (part selection, schematic design, layout, and bring-up) as well as work closely with chip designers, firmware engineers, mechanical engineers, and microfabrication experts for system integration.
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Ph. D. in I-O Psychology, Economics, Operations Research, Computer Science, or Statistics. with a data science fellowship or prior professional experience as a data scientist. Apple's dedication to privacy, the human-centric nature of our work, and the scale of our business present exciting challenges to traditional machine learning and data science methods.
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Competent with computer software including Microsoft Office suite, AutoCAD Civil 3D, Matlab, and SKM/ETap. Or add your expertise to our supply and trading operations, brokering renewable electricity, green gas, commodities, and CO2 emission allowances from one of our advanced energy trading floors.
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Bachelor's Degree Educational background or interest in science and natural history Familiarity with Texas Science & Natural History Museum (formerly known as Texas Memorial Museum) One to three years of security experience in an art museum or general museum/gallery, or other cultural organization Current certification in AED, CPR, and First Aid.
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Fields of study – Electrochemistry, Metallurgy, Material Science and Engineering, Chemical Engineering, or related fields. Science or Engineering degree from an accredited college or university.
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For two decades, we have pioneered visual computing, the art and science of computer graphics. We are now looking for a ASIC Verification Engineer - Coherent High Speed Interconnect! As a ASIC Verification Engineer at NVIDIA, you will verify the design and implementation of our innovative high speed coherent interconnects for our mobile SoCs and GPUs. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.
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computer science jobs Title: database administrator in Austin, TX
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