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Specimen preparation that requires a complex and thorough understanding of tissue structure, as well as a basic understanding of chemistry and physics; and how tissues react under process conditions, including decalcification, rehydration, grossing, fixation, embedding, microtomy, routine staining, special stains (histochemistry), and immunohistochemistry as applicable with skillset and training.
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In one of the following areas of study: environmental or chemical engineering, limnology, environmental science, marine science, geology, biology, earth science, chemistry, physics, or health science; or.
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Proficiency in MATLAB/Simulink, Python, and similar tools for battery equivalent-circuit and physics-based modeling. Experience modeling lithium-ion batteries with equivalent-circuit and physics-based methods.
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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 2+ years relevant experience is preferred but not a must; OR.
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Bachelors, Masters, or PhD in fields such as Computer Science, Computer Engineering, Electrical Engineering, Physics, Mathematics, or any STEM related fields. Join Intel XeSS Research and Development team and be at the forefront of revolutionizing real-time 3D rendering.
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Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts.
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Newly graduated engineers, majoring in Electronics, Telecommunications, Mechatronics, Automation, Computer Science, Computer Engineering, Information Technology, Mathematics – Computer Science, Physics – Electronics, and Physics – Computer Science.
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PCSD is PNNL's primary steward for research supported by the Department of Energy's Offices of Basic Energy Sciences, Advanced Scientific Computing Research, and Nuclear Physics, all within the Department of Energy's Office of Science.
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BA/BS in Computer Science, Math, Physics, or other technical fields. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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Requires a Bachelor's degree in Computer Science, Engineering, Electrical Engineering,Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field, followed by five years of progressive, post-baccalaureate work experience in job offered or computer-related occupation.
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Education: M.S. in material science, polymer physics, polymer engineering or related discipline is required, Ph. D. is preferred. The senior analytical chemist will utilize strong analytical skills that provide data driven conclusions to assist in research and development project objectives from idea conception through product commercialization.
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Bachelor’s Degree (2:1) in Computer Science, Electronic Engineering, Engineering, Physics or similar field. Microcontrollers (Raspberry Pi, Arduino). Bachelor’s Degree (2:1) in Computer Science, Electronic Engineering, Engineering, Physics or similar field.
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Many different aspects of game development are covered within this team: platform abstraction, game architecture, graphics techniques, physics simulation, procedural animation, machine learning, and much more.
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Join a truly supportive team from the top down where Physics is an integral partner throughout. 3 Varian Linacs – opportunity to be part of commissioning new items! Cathi Mitchell Beecroft, CPC, CTS | Direct: 210.807.
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Academically qualified, BA (hons) or above in related fields such as physics, power electronics, mechanical engineering, electrical / electronic engineering. Academically qualified, BA (hons) or above in related fields such as physics, power electronics, mechanical engineering, electrical / electronic engineering.
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physics job in Lincoln, NE
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