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The MCR-ALS implementation currently exists in MATLAB. The goal of this project is to implement MCR-ALS tools within SASView, adapting the functionality specifically for scattering data. The project will
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confident in handling the relevant data and be competent in programming on either MATLAB or Python. You will also be enthusiastic about building and troubleshooting your experimental rig. You will have the
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experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including parameter estimation and uncertainty
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data and simulation software such as XPlane or others would be given preference. Applicants should be knowledgeable of coding languages such as Matlab and Python. The University of Malta is an Equal
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(knowledge of energy systems is a plus). The ideal candidate for the position has skills in electrical grid modelling (OpenDSS, Pandapower, MATPOWER, etc.), programming skills (Python, Julia, Matlab), as
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Associate to
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, or molecular self-assembly. Programming and data analysis skills (e.g., MATLAB, Python, C++, or similar). Good verbal and written communication skills in English. WHAT WE OFFER We are offering a 1-year
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produce drafts for national research grants. The candidate should be able to work efficiently with Matlab to test and validate the previous developed user interface, should have good organizational skills
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functional MRI approaches for studying human brain function. Thorough familiarity with programming and analysis in MATLAB and/or Python. Strong record of peer-reviewed publications and productivity beyond
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electrophysiology (neural recording, EMG, or related techniques) Exposure to sensor design, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition