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of a collaborative, multidisciplinary team Computer Skills: Demonstrated ability to do electronic scheduling and record keeping Preferred Qualifications Specialization in an area pertinent to CSUF
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obtained from Professor Diego Abalos [email protected] Deadline All applications must be received no later than 31 August 2026. Application procedure Shortlisting is used. This means that after
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various dairy systems and livestock/grazing management scenarios. Document model development processes and disseminate research findings through peer-reviewed publications and technical reports. Performs
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. The ideal candidate will have a
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evaluation and development of novel PEC systems. · Design and implement in-situ TEM experiments using the available gas and liquid sample holders to study dynamic processes in real-time, under controlled
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-based bioeconomy – from analysing how resources can be used and governed to developing technologies, materials, and industrial processes for sustainable bio-based products and systems. The Department is
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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will have a strong background in wireless communication, signal processing, and machine learning. They should also possess the skills necessary to develop complex models, algorithms, and simulations
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and
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DOE-STP Critical Minerals and Energy Innovation - Alternative Fuels and Feedstocks Office Fellowship
Feedstocks Technologies R&D program develops reliable and cost-effective technologies for producing, harvesting, storing, processing, transporting, and mobilizing abundant domestic biomass and waste feedstocks