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Job Description We seek a Tenure Track Assistant Professor on sizing and operational optimization of multi-technology renewable hybrid power plants. You will perform high-impact research in
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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of code to utilize GPU-acceleration on DTU’s high-performance computing cluster or other HPC systems. You will also analyze realistic physical implementations of the architectures you explore, with a
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research, computer science, business economics, or a related field. You must have demonstrated track record with publications in recognised journals based on experience in developing and applying advanced
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backgrounds in: Civil, Architectural, and Environmental Engineering, Computer and Software Engineering, Computer Science, or a related discipline such as Mechanical Engineering. Candidates must have completed a