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) of the Czech Academy of Science led by Tomáš Neuman . The team investigates atomic-scale optical properties of molecules and low-dimensional materials, particularly in the context of scanning probe microscopy
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high dimensional imaging of human tissue and advanced AI analytics to understand immune states in autoimmune and other diseases of the kidney. The successful applicant would become familiar with
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, or for biomagnetic applications or to create new magnetic materials for environmentally friendly energy technologies. Project description The study and exploration of two-dimensional (2D) quantum materials, such as
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(PostgreSQL, SQL Server, MySQL, etc.) and data-modeling (relational & dimensional). Proficiency in Python (or another modern language) for ETL, API integration, and automation. Knowledge of healthcare data
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connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay
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and electrochemical testing in supercapacitors and batteries - Study of charging mechanisms using ex-situ and operando techniques Two-dimensional (2D) materials based on transition metal carbides and
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crystallography, and other structural techniques enable them to obtain the three-dimensional structures of these molecular machines. More information can be found on the lab website: https://joshua
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an emphasis on molecular beam epitaxial growth and scanning probe microscopy/spectroscopy studies of two-dimensional heterostructures and thin films. The initial appointment is for one year, but renewal may be
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background and expertise in one or more of the following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural
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of numerical modelling and the validation of numerical results by an experimental study on material level. Firstly, the development of hydration processes including the carbonated matrix in three-dimensional