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to the focus area of the project of your choice Experience with analysis of scientific data Scientific programming skills, e.g. Python, Matlab are an additional asset You have an independent and responsible way
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and knowledge and early-career authorship. Responsibilities Programs in Stata, Python, R, or Matlab to analyze data using econometric tools. Collaborates with research team to develop economic models
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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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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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implementation of data pipelines. Programming in computational neuroscience: Python, MatLab. Specific Requirements Knowledge: Processing of neural signals. Network science. Statistical learning. Algorithm design
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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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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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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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» Civil engineeringEducation LevelPhD or equivalent Skills/Qualifications Technical Skills: Programming: FEA, Python and MatLab. Other requirements to consider: Teamwork. Adaptability. Communication skills
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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