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Field
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Electrical Engineering, Computer Science, or a related field Strong background in speech processing, signal processing or machine learning Proficiency in Python and deep learning frameworks Experience with far
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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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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO₂ valorization in
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are seeking to appoint a Postdoctoral Research Associate with experience of structural biology techniques to join Dr Paul Elliott’s Lab to investigate the mechanisms of ubiquitin signalling within inflammation
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skills and proficient in the use of applications such as Microsoft Word, Excel, PowerPoint. Experience in preparing high-quality manuscripts and submitting them for publication in academic journals
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material and personnel support will be provided to the postdoctoral fellow leading this project. This is a unique opportunity to study the signals that generate learning and potentially bridge a longstanding
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, preferably from neuroimaging or behavioral studies Knowledge of signal processing and statistical analysis Excellent communication skills and ability to work in a collaborative environment Preference will be
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work independently, once appropriate training and guidance is provided. Excellent academic writing, oral presentation skills and computer skills and proficient in the use of applications such as
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nanotubes, enables the exploration of thermodynamic processes at the nanoscale. Carbon nanotubes serve as exceptional nanomechanical resonators due to their low mass, high stiffness, and quality factor
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recently developed in a commercial 65 nm CMOS imaging process by a large international consortium of engineers and scientists for the ALICE ITS3 upgrade and the future experiments, ePIC@EIC and ALICE3@LHC