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. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding performance in Physics or related
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experience at the time of application. Preference will be given to those with: (a) a PhD degree in GIScience, Geomatics, Computer Science, Big Data, Machine/Deep Learning, Artificial Intelligence or a
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the rank of Research Assistant Professor in computational mathematics, machine learning, scientific computing, statistics, and related areas. The appointee is expected to conduct high-impact research
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Waves and THz; Control Systems; Nanotechnology for Optoelectronics and Biosystems; Communications and Networking; Power Systems; and Computer and Data Engineering. Requirements A PhD in Electronic
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Professor (25260446) Responsibilities: The Department is recruiting one scholar at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics
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(25260475) Responsibilities: The Department is recruiting a scholar at the rank of Research Assistant Professor in computational mathematics, machine learning, scientific computing, statistics, and related
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential
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of genomics, transcriptomics, proteomics, and metabolomics data, as well as expertise in molecular docking, virtual drug screening, and the application of deep learning and machine learning algorithms
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Professor / Assistant Professor (25260372) Responsibilities: The appointees will perform high-impact research, teach and supervise students at undergraduate and postgraduate levels, and contribute