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Assistant Research Professor (Research Track), Radiology and Imaging Sciences Posting Number req24876 Department Radiology & Imaging Sci Dept Department Website Link https://radiology.medicine.arizona.edu
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development Outstanding knowledge of empirical social research methods Advanced competence in statistical methods and computer programs for analysis of quantitative and qualitative empirical data (e. g. SPSS
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-generation into medical device software development processes. You will be trained to carry out research that combines software engineering, formal methods, and safety assurance. You are not expected to have
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 9 days ago
, Karima, et al. "A systematic and formal study of the impact of local differential privacy on fairness: Preliminary results." 2024 IEEE 37th computer security foundations symposium (CSF). IEEE, 2024. - [4
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Computer Vision, Image Processing, and Deep Learning methods. Experience with modern computer vision frameworks and tools (e.g., OpenCV, PyTorch, TensorFlow). Strong commitment to excellence in teaching and
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on design of mixed-signal circuits. - Valuable Knowledge of comercial design tools like Cadence / Synopsys. - Competence in computer architectures and digital system design with HDLs (Verilog or VHDL
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and reports resolution of issues through effective communication methods; Performs maintenance, repairs, and upgrades on Student Centers owned AV systems. This includes oversight of computer systems
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using technologies such as single cell genomics to characterize mammalian autism models, as well as using molecular tools to develop a high-throughput method to study local mRNA components of synapses
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but not limited to mice, rats, rabbits, dogs, cats, sheep, pigs, cattle and nonhuman primates. Significant experience related to animal handling, methods of blood collection and drug administration
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ancestral recombination graphs to study of the genetic basis of diseases, incorporating ancient genomes • Apply and develop methods for partitioning heritability and estimating genetic correlations • Develop