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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 hours ago
: PHYC50H3 – Electromagnetic Theory Course description: Solving Poisson and Laplace equations via method of images and separation of variables, Multipole expansion for electrostatics, atomic dipoles and
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dynamics, using tools such as ground-penetrating radar, electromagnetic induction, electrical resistivity, seismic, nuclear magnetic resonance, active/passive microwave, or gravity. Successful candidates
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. Engineering: Electromagnetic fields and microwave technology; high voltage and insulation technology; automation engineering; electrical engineering; measurement and control technology and instruments
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Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts,Sonstiges,Promotion Job
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Lecturer -PHY250H1S – Electricity and Magnetism – Emergency Posting Course description: An introductory course in Electromagnetism. Topics include: Point charges, Coulomb’s law, electrostatic field and
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Reference Number 101117624 Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will work with Dr Charisi’s to advance the goals
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and written communication skills. Preferred Qualifications Experience with superconducting qubit design and measurements. Experience with electromagnetic simulations. Experience with cryogenic hardware
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superconducting qubit design and measurements. Experience with electromagnetic simulations. Experience with cryogenic hardware and microwave engineering. Possess a team attitude. At least one year of paid
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systems level modeling. Modeling of losses in electromagnetic materials and systems. Modeling of soft and hard magnetic materials. Experimental validation of modeling results. Experience in preparing
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Assist Prof in Next-Generation Approaches of Remote Sensing for Applications to digital soil mapping
background in digital image processing, image enhancement, computer vision, pattern recognition, machine learning and deep neural networks and a sound research experience/knowledge in electromagnetic sensing