177 coding-"https:" "https:" "https:" "https:" "https:" "NOVA.id" uni jobs at Pennsylvania State University
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funding in software supported areas related to bespoke embedded coding, database creation and Graphical User Interfaces (GUI) Expert in C/C++, Python, SQL, and Java Software Lifecycle: design, develop
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this lab include collaborating with faculty on data collection, data management and coding, writing literature reviews, analyzing qualitative and quantitative data, writing manuscripts for publication
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the optics vendor ecosystem Business development experience with government customers Project management and leadership Fiber optic transmission, communication theory, advanced optical signal coding and
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members to apply. You will: Work closely with a team to develop applications to best fit project needs Maintain version tracking and code documentation Support field testing – to include remote or in person
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substances (49 CFR PART 40), and physical examination requirements as per PA. CODE 231.85. Penn State does not sponsor or take over sponsorship of a staff employment Visa. Applicants must be authorized
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engineering with emphasis on the use of AI, Machine Learning, and/or other advanced technologies to address the challenges of construction regarding project scheduling, estimating, safety, building codes and
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, planers, sanders, sheet metal rollers, shears, brake, drill press, shaper, table saw, grinder, metal lathe, milling machine, hand tools, etc.To work with metal, plastic and wood Set up, program in g codes
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, fostering best practices in statistical rigor, code quality, and reproducibility Required skills/experience areas include: Python expertise (primary language) with demonstrated use of data science and machine
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, Facilities & Maintenance Volunteer. Collaborate with the 4-H Educator to address and, if necessary, dismiss volunteers who violate the Penn State 4-H Volunteer Leader Code of Conduct. Engage in ongoing
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used for data processing and statistical analysis under supervision of the principal investigator. Collect, enter, code, and analyze data; contribute to the design of data plan; present study findings