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). The position is hosted by the Multi-energy System Planning and Operation Research Group at Aalto University School of Electrical Engineering . The research will focus on the modelling, optimization, and
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Chemistry, Materials Science, Electrical Engineering or Physics. Experience and knowledge in one or more of the following areas are considered as merits: Research background in thin-film device fabrication
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agreement. Appointment Start Date: Flexible Group or Departmental Website: https://cogtlab.stanford.edu/ (link is external) Does this position pay above the required minimum?: No. The expected base pay
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 7 hours ago
-related). Proficiency with materials characterization and performance evaluation (e.g., SEM/TEM, XRD, XPS, Raman/FTIR, electrical conductivity measurements, electrochemical testing as applicable). Strong
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electrical stimulation (iES) and electrophysiological recordings (iEEG and single-unit recordings), with noninvasive brain stimulation and whole-brain neuroimaging to uncover causal brain circuit mechanisms
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programs. MINIMUM QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling
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Departmental Website: https://med.stanford.edu/medphysics.html (link is external) How to Submit Application Materials: Please send application materials to [email protected] (link sends e-mail) with the
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Manufacturing and Machine Industry theme of the Aalto House of AI , led by Professor Ville Kyrki. The theme brings together robotics, machine learning, and electrical and mechanical engineering to work on
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Post-Doctoral Associate in the Division of Engineering (Electrical Engineering) Employer NEW YORK UNIVERSITY ABU DHABI Location Abu Dhabi, United Arab Emirates Closing date 8 Oct 2026 View more
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Mathjobs.org | 17 days ago
; cancer detection through Electrical Impedance Tomography and optimal control theory; identification of parameters in large-scale models of systems biology; quantum optimal control theory. Working