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collect data from experiments. This may involve: Conducting literature reviews on relevant topics Analyzing and interpreting data using statistical software for quantitative analysis Preparing the code
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: Master’s degree in computer science, computer/software engineering, applied mathematics, artificial intelligence, or a related field. Strong skills in deep learning (e.g., PyTorch/TensorFlow). Experience in
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-throughput datasets generation and analysis, prediction of microfluidic architecture performance, or guided device design. Condition of Employment Reliability Status Language Requirements English Note
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observing, data reduction and analysis, instrumentation and software development, modelling and simulations) involving instrumentation for or astronomical datasets from radio telescopes. Demonstrated radio