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Field
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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize
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opportunities to work with other investigators from Michigan and Harvard. Required Qualifications* Ph.D. in Statistics, Mathematics, Biostatistics, and Computer Science. Strong computing skills using R, Python
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to fields like particle physics and cosmology. Research on nonlinear optical imaging systems and optical tweezers techniques for applications in soft, biological active matter systems. Computational
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University. The ideal candidate will collaborate closely with both clinicians and computational researchers to develop and apply novel methods for understanding the biology of brain disorders and/or
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School of Electrical Engineering and Computer Science Part-time (80%), fixed-term position through to April 2028 Base salary will be in the range $112,572.59 - $133,381.10 + 17% Superannuation
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by identifying “the right drug for the right patient at the right dose”. The candidate will also work with, and be co-mentored by, exceptional scientists in Human Genetics and Computational Sciences
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developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface
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development, data analysis and inference, and image analysis ▪ Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and
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, biochemistry, microscopy, or genomic tools is required. A research background in cancer, aging, or developmental biology with computational experience will be highly advantageous. The projected base salary range
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engineering, computer science, automation and robotics engineering, mathematics/physics or related field. Strong research experience or research publications records in AI-related (or interdisciplinary field