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Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. M.Sc in Mechanical, Electrical, Computer Science, Computer engineering, Physics, Mathematics or related fields or a combination of education and equivalent experience.
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OR BS degree in Electrical Engineering, Materials Science, Physics, or a related field, with a concentration in microelectronics, optoelectronics, electronics, or physics. Associate degree in Electrical Engineering, Materials Science, Physics, or a related field, with a concentration in microelectronics, optoelectronics, electronics, or physics, and a minimum of three years of experience.
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Studying Computer Engineering, Electrical Engineer, Physics, Microelectronics, or Mechanical Engineering. Our mission is to build great products that accelerate next-generation computing experiences the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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The candidate should have a strong background in high voltage, pulsed power, power electronics, charged particle/plasma physics and especially in their systems integration. MS/Ph. D. in Electrical Engineering, Plasma Physics, Engineering Physics or similar field.
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The post-doctoral fellow will apply machine learning and/or other data science techniques to conduct scientific research, improve remote sensing data products and analysis, integrate machine learning with physics-based models, and/or improve processing of remotely-sensed Earth Science data.
Full-timeRemoteExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Physics, Computational engineering. System/Board Design, Circuit Board Layout, Signal Integrity, Power Design. Verilog, VHDL, Python, Perl, Spice, Ruby, Chrome OS, MATLAB. ASIC Design, Verification.
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Our Flagship Data Science team is seeking a Senior Staff Data Scientist to work alongside the newly formed Applied Science team focused on building inference, algorithms, and models to identify and quantify complex cause and effect in the ecosystem.
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Bachelor’s degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. – Experience as a leader and mentor on a data science team.
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G, Statistics, Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics) or equivalent practical experience. We are looking for an experienced data scientist to join our data science team.
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Data science, machine learning, optimization models, Master’s degree 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)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Provides physics consultation to all radiation oncology personnel and radiation oncologist concerning aspects of patient care and treatment. - Responsible for development, maintenance, education, and implementation of departmental policies/procedures related to medical physics, dosimetry, and radiation safety.
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ASML/Brion brings together the most creative minds in science and technology to develop computational lithography software to enable customers on the best process window enhancement solution for the next generation HighNA EUV scanner, as well as best process window control solution to mitigate the process variation during the scanner operation, providing holistic solution for advanced nodes in semi-conductor industries.
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PhD in Engineering, Material Science, Physics, Nanotechnology or related disciplines; >2 years industrial relevant work experience preferred but not required. In close cooperation with our customers, Bruker is enabling innovation, improved productivity, and customer success in life science molecular research, in applied and pharma applications, in microscopy and nanoanalysis, and in industrial applications, as well as in cell biology, preclinical imaging, clinical phenomics and proteomics research and clinical microbiology.
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Bachelors in Electrical Engineering, Mechanical Engineering, Materials Science or Physics with 5+ years of experience or Masters in Electrical Engineering, Mechanical Engineering, Materials Science or Physics with 3+ Years of Industry Experience or PhD in Electrical Engineering, Mechanical Engineering, Materials Science or Physics with 0+ yrs of Industry Experience Preferred.
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Alternatively, a physics, chemistry or materials science PhD candidate in their last year of graduate studies who has spent the majority of their time on building machine learning models, and not only can use specific machine learning models, but also understands them in a deep fundamental level.
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microelectronics physics data science jobs Company: Kbr in Sunnyvale, CA
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