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applications, although this is not the primary goal of the position. What you will bring (position requirements): A PhD in machine learning or data science and a background in computer science, physics
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and Artificial Intelligence (CDAI) Support Unit. The successful candidate will be responsible for defining the institute's computational and data-driven strategy, integrating Machine Learning (ML
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academic, instructional or counseling activities to acquire skills necessary to plan, coordinate and implement a variety of program activities and events OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION
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degree in computer science / mathematics /telecommunications / automatics, when starting the PhD. Programming: - Python language (required) - Deep Learning libraries (like TensorFlow, Keras, PyTorch
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responsibilities? No Preferred Education/Experience Bachelor’s degree in Computer Science, Machine Learning, AI, Data Science, Engineering, Mathematics, or related field (Master’s or PhD preferred). 7+ years
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Engineering, Computer Science, or a related field. Master’s or PhD in Electrical Engineering, Computer Science, or related discipline. Research or technical experience. Research experience in machine learning
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research. Experience with large datasets, longitudinal studies, or population health research. Expertise in advanced epidemiologic methods (e.g., causal inference, biostatistics, machine learning
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, statistics, and microbial community analyses Experience with machine learning approaches, including the ability to apply relevant statistical models and predictive analytics to biological datasets, is highly
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for Machine Intelligence. We are seeking a candidate with a good Honours degree in Physics, Engineering, Computer Science or related discipline and a PhD in medical image processing/analysis (or equivalent
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to reduce the cost of clean hydrogen to $1/kg by 2031. The project proposes to address key scientific challenges by using molecular simulations (reactive force fields like ReaxFF and machine learning