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analytical and research skills, as well as proficiency in English, both written and spoken. Preferential factors include: Knowledge of data analysis tools (e.g., Excel, SPSS, R, Python or similar); Familiarity
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the following factors will be considered: a) Academic background (Master's degree average up to 16.0 points – 1 point, >16.0 points – 5 points); b) Experience in programming languages, including Python, C++, and
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: Basic or intermediate knowledge of energy systems or complex technical systems Experience with data analysis tools (e.g., Python, MATLAB, or similar) Ability to understand and support technical model
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extensive experience of python programming, deep neural network analysis, and large language models. Ability to work independently and generate innovative, out-of-the-box research ideas. Ability to work
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Python and experience with GPU cluster environments (e.g., SLURM) are a plus. Special Instructions Please provide a CV, a Research Statement, and two or more letters of recommendation. The target start
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will be advantageous. Experience in designing, developing and evaluating solutions for a given problem statement using simulation tools, such as Matlab, Python, etc., and documenting and publishing
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of programming languages such as matlab and Python. We regret to inform you that only shortlisted candidates will be notified. Hiring Institution: NTU
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., Python, cloud platforms) Ability to work independently and across interdisciplinary teams Experience in sensor data fusion, automation, or robotics in construction is a plus Familiarity with IDD, DfC
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simulation or programming tools such as MATLAB, Simulink, MATSim, AnyLogic, or Python. Applicants should also have a good knowledge of decarbonisation and sustainability principles in transport, energy systems
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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