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level. Background in solid-sate physics, semiconductor devices, quantum information, and/or analogue circuits is desirable. Experience in data analysis and programming, particularly in the use of Python
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well as data analysis and interpretation. Previous experience in fieldwork, laboratory techniques (chemical analyses), and advanced data analysis will be highly valued. Programming skills in R or Python
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analysis, including statistics and machine learning techniques. Proficiency in scientific programming, especially Python and/or Matlab, and experience in shell scripting. Excellent written and oral
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interdisciplinary mindset (materials science, physical chemistry, energy research). Knowledge of Physical Chemistry is desirable. Knowledge in Python programming language or PyTorch / Tensorflow certification
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Applications of Physics to Medicine or a closely related field. A strong background in programming (e.g., Python, or similar languages) is essential, as the project involves computational analysis and data
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low-fidelity and high-fidelity models for emissions, trajectories, and re-entry. Proficiency in numerical modelling and programming (e.g., Python, MATLAB, C/C++/Fortran). Ability to work efficiently and
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in wireless networks, signal processing, and backscattering techniques. Understands 3GPP and UHF RFID protocol fundamentals Has strong programming skills (Python, C/C++, MATLAB). To accredit a level of