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applied mathematics and economic geology and is based in the School of Mathematics at Monash University. You will work closely with A/Prof Anja Slim at Monash, Dr Edward Hinton at the University
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Simons Collaboration on the Physics of Learning and Neural Computation | California City, California | United States | 2 months ago
will involve a developing a deeper scientific understanding of artificial intelligence through combined theory and numerical experiments. We aim to employ and develop powerful tools for complex systems
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or human-computer interactions studies. The focus of the PhD-thesis needs to contain knowledge areas such as learning theory, cognitive theories with applications on studies of learning, design of learning
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the following fields: Biology; Neuroscience; Physics; Chemistry; Computer Science; Data Science; Mathematics; Earth Science; Astro sciences; and related disciplines Application deadline: September 10 (14:00 CEST
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of application. Strong mathematical skills and significant programming experience (e.g. Fortran, Matlab, Python, Linux). Significant experience in numerical modeling and familiar with at least one of
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, mathematical modeling, fabrication, and control of origami-inspired soft actuators, pneumatic comparators, and electronics-free fluidic logic systems. The Research Fellow will work closely with the Principal
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), or be close to completion, in a relevant subject such as: Engineering; Operational Research; Applied Mathematics; Computer Science; Systems Engineering; Data Science; or a closely related discipline. You
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, and information technology theory and skills in a real-world environment. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in
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. Supporting and mentoring graduate students where appropriate. About you You will have: PhD in mathematics, physics, data science, engineering, systems biology or a related field, or be in the final stages
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) conduct scientific writing and dissemination of research, (b) describe forest and fire ecology theory and field methods; and (c) apply data management and analysis skills. Mentor: The mentor