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Field
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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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such as MATLAB, Simulink, MATSim, AnyLogic, or Python. Applicants should also have a good knowledge of decarbonisation and sustainability principles in transport, energy systems or manufacturing. Excellent
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with Julia and/or Matlab. An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines. Knowledge of health and safety
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Department of Botany and Zoology, Faculty of Science, Masaryk University in Brno | Czech | 9 days ago
enrolment to the PhD study program). · Solid understanding of optics and theory of electromagnetic fields. · Advanced skills in MATLAB, Python, or similar languages for data analysis and
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such as MATLAB, Simulink, MATSim, AnyLogic, or Python. Applicants should also have a good knowledge of decarbonisation and sustainability principles in transport, energy systems or manufacturing. Excellent
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building management system to shed signficant loads under varying operating conditions. The research staff will develop, simulate, and test controller logic using MATLAB/Simulink or similar environments
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management/administration processes Desirable Experience working with Drosophila, live calcium imaging, Matlab/Python programming and/or behaviour A good publication record in neuroscience. Further details
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. Experience in process modelling and simulation (e.g., Aspen, Modelica, MATLAB, Python). Strong understanding of heat exchangers, thermal loops, and multi-physics systems. Experience in techno-economic analysis
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graphing and/or data analysis software (Prism, Origin Pro, Matlab etc) Success in research funding and/or experience in grant development and writing. A good understanding of appropriate statistical analysis
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graphing and/or data analysis software (Prism, Origin Pro, Matlab etc) Success in research funding and/or experience in grant development and writing. A good understanding of appropriate statistical analysis