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ends 8/31/2026. Required Qualifications The person applying for this position should be proficient in Excel, Python or MATLAB. Desired Qualifications Training provided. Special Instructions to Applicants
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include MATLAB, Labview, Python and/or C++. Requirements: PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability
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for measurement data (preferred for plasma physics or HEP). Knowledge of Python, Matlab. Additional assets: Experience in laboratory work and knowledge of the principles of particle detectors and measurement
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and/or cognitive neuroscience, preferentially in the field of attention and memory Excellent research methods knowledge and skills Solid programming skills (e.g., MATLAB, R, Python) Demonstrated
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of our experienced group members. • Participate in the development of theories, collaborate with the top experimentalists, and perform numerical simulations (matlab/python/mathematica). Key Requirements
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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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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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: 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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propagation physics (acoustic, seismic, ultrasonic, electromagnetic) and/or diffusive phenomena (e.g., electrical resistivity). Strong programming skills either Python, MATLAB, julia or other scientific
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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