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Program
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science, physics, or a related field Basic knowledge of perovskite PV or semiconductor physics Initial experience in with an object-oriented programming language (e.g., Python, Matlab) Analytical and
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–biomolecule or catalytic system simulations Quantum mechanical methods (e.g., DFT or QM/MM) Enhanced sampling or free-energy calculations Programming or scripting for computational research (e.g., Python
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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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relevant field strong background in control engineering and systems theory high proficiency in programming (C, C++, Python, Julia, or MATLAB) high proficiency in English, both written and spoken, and
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have experience of compressible-flow rig design, CD CAD, and the ability to work across systems integration topics, along with programming in one or more of: Python, Matlab, C, C++, FORTRAN, LabVIEW. You
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://canlab.la.psu.edu/ Qualifications: Experience with programming languages (e.g., MATLAB, R, Python) and analysis of fMRI data is preferred. MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS Associate Degree
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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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-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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with data acquisition and analysis using software such as MATLAB or Python. Excellent written and oral communication skills, with a proven track record of publishing research findings. Ability to work
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
fading, and maintain stable performance over 40–100 km fibre lengths. Perform co-simulation of optical and electronic/system-level subsystems (e.g., using Python, MATLAB, VPI). Build and characterise