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-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in
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/31) Position Description: Apply Position Description Academic Job Description Department of Biological and Environmental Engineering Postdoctoral Associate – Sustainable Energy and Synthetic Biology
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detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in experimental high
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Qualifications/ experience: A PhD in a biological science-related subject. Experience in vascular biology or bioinformatics is desirable Practical skills in a range of biological research methods e.g. cell biology
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addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. Context of Job: The Department of Electrical and Computer Engineering (ECE) is looking for a
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for dissolved organic matter. ● Integrate sensor outputs into process control systems (stepper motor–driven coagulant dosing). Desired qualifications: ● PhD in Environmental Engineering, Electrical/Computer
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of Biological and Environmental Engineering at Cornell University is looking for postdoctoral associate to support, lead and invent projects at the intersection of sustainable energy, synthetic biology, physics
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for rehabilitation, assistive technology, or neuro-prosthetics, leveraging machine learning to improve precision and adaptability in user interactions. Knowledge of deploying robots in shared workspaces, focusing
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) Positions PhD Positions Country Poland Application Deadline 26 Nov 2025 - 00:00 (Europe/Warsaw) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme
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, biomechanics, engineering). Strong research background and publication record in electroencephalography (EEG), in particular using source localization methods. Enthusiasm for interdisciplinary collaboration