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Program
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Field
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(e.g., FDTD, FEM, RCWA) Experience with data analysis tools such as Python or MATLAB Experience with 2D materials, polaritonic systems, or anisotropic optical media Experience with near-field optical
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and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning
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in scientific language and computational tools like R, Python, MATLAB and/or C++ Familiar with computational methods in the techniques or simulations. Required Skills & Abilities: *Ability
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micro data on firms, banks, investors, currencies, trade and financial asset transactions is welcome. Familiarity with Python, Stata, R, MATLAB, SQL is preferred. Candidates should address how they would
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and diverse teams. They will need to have advanced-level knowledge of power grid security and machine learning concepts with proficient coding skills (e.g. MATLAB, Python, or similar) and power grid
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(essential) extensive experience in programming in Python or Matlab and data analysis (essential) experience with behavioural and neuroimaging (fMRI, M/EEG) data design/collection/analysis (essential) track
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focus on quantum impurity models (particularly Kondo model). • Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques such as exact
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: Knowledge with electrical engineering (PCB design, circuit design, soldering) Familiarity with CAD (Autodesk/SolidWorks) Experience with Python, C++, MATLAB, and MySQL Physical Requirements Remaining in a
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-infrared spectral range, - Free-space and guided optics experiments, - Programming and modelling (Matlab and Python), - Infrared spectroscopy. Know-how and interpersonal skills: - Initiative, responsiveness
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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired