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focus of the Todesco lab is to understand plant diversity and adaptation using a combination of molecular and development biology, quantitative genetics, genomics, evolutionary biology and ecology
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Sessional Instructional Assistant - MAT302H5F - Intro to Algebraic Cryptography (emergency posting)1
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months agocryptography, from Euclid to Zero Knowledge Proofs. Topics include: block ciphers and the Advanced Encryption Standard (AES); algebraic and number-theoretic techniques and algorithms in cryptography, including
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algorithms for: Swine production: Early detection of health problems in pigs (respiratory diseases, abnormal behaviors) from video streams. Swine processing: Automated assessment of animal condition and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 15 hours ago
appointments in the graduate departments of Cell and Systems Biology , or Ecology and Evolutionary Biology . At UTM we are committed to fostering an environment of diversity and inclusion. With a highly diverse
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learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
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second- and third-year undergraduate students in the Science Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science (SEA-PHAGES) course. This lab-based course focusing on
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considered as evolutionary remnants of little significance, primary cilia in the past decade have sparked enormous interest, fueled by the discoveries that mutations in 150+ ciliary genes lead to 30+ human
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of Biomedical Engineering, please visit https://www.bme.ubc.ca/ . HuMBL, a research lab within the SBME, specializes specifically in wearable sensor technologies and algorithm-driven health analytics to enhance
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learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
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considered as evolutionary remnants of little significance, primary cilia in the past decade have sparked enormous interest, fueled by the discoveries that mutations in 150+ ciliary genes lead to 30+ human