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Responsibilities:- Carry out interdisciplinary research in quantum computational chemistry (such as Post Hartree-Fock method, quantum embedding method) and machine learning(such as Neural Network QMC);- Perform theoretical analysis on machine-learning-based quantum chemical models;- Conduct large-scale quantum chemical simulations (such as MPI, GPU acceleration) and verify the correctness and practicability of proposed models.
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The Company creates quality books and ebooks, print and technology-based learning programs for pre-K to grade 12, classroom magazines and other products and services that support children's learning both in school and at home.
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Expertise as evidenced by a strong record of peer-reviewed academic publications, combined with hands-on research experience in applications of machine learning, deep learning, natural language processing and algorithms is desired.
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Hands-on experience/knowledge working with TFS Verios and TFS Magellan instruments. Learning & Development: take on career development programs and goal setting to create big possibilities for your career and life.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc. · Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
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Hands on experience in implementing end-to-end machine learning projects. Cellular 4G/5G Firmware Data Science & Machine Learning Engineer. Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem.
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They have opportunities to work with AE faculty and NASA engineers to design, build, test, and launch microsatellites like the , participate in the design, building, and testing of our brand new hypersonic facility, learn how to use machine/deep learning for structural health monitoring, optimize spacecraft trajectories or explore the potential of electric and hybrid propulsion systems for general aviation, commuter, and large air transports.
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As a Technical Staff Engineer - Design (ASIC) in the Microchip Data Center Solutions group, you will get hands-on experience developing our next generation of SSD Flash controller SOC products.
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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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Your expertise in electromagnetic simulation tools like HFSS and CST, combined with hands-on experience in high-speed PCB/package development, makes you a technical leader in your field. EM knowledge and expertise with EM simulation tools such as HFSS and CST. Hands-on experience with high-speed PCB/package development.
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The Beer Sales Representative works alongside distributor partners and local supplier distributor manager to ensure the successful sale, volume growth, distribution, brand presence and positioning of the supplier's portfolio, working within a set list of priority On premise and Off premise accounts throughout the assigned territory.
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You will drive the technical, product, marketing and go-to-market engagement with strategic partners, play a significant role in identifying product gaps and defining future features for NVIDIA's products, and advocate partners’ success with NVIDIA. An ideal candidate has expertise in Physics Informed Machine Learning, a proven technical background in Deep Learning, and experience of ecosystem development.
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Hands-on experience in programming & setup of CNC Swiss machines. Interest in learning and continued professional growth. Set up and operated Swiss CNC machines and produced parts: generally, worked on more complex parts that required a higher skill level and knowledge of all machining operations.
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Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools. Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL.
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The HVAC sales engineer will then use a variety of intricate calculations regarding airflow and aerodynamics to find the best match. When working through these calculations, the HVAC sales engineer will consider not only the main machinery, air conditioners, heat pumps, chillers, or exhaust equipment, but also the placement of ductwork, blowers, vents, and items like compressor capacity and condenser requirements to achieve the climate environment specified by the designers.
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