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++ and Python. Demonstrated ability to conduct research, solve complex technical problems, and develop innovative solutions. Experience with parallel systems, machine learning/AI, or performance
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Proficiency in Cadence Proficiency in Python and Matlab Experience in implementing algorithms for machine learning Good written and oral communication skills We regret to inform you that only shortlisted
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in Python, including experience with scientific computing and data analysis. Familiarity with machine learning or multivariate data analysis. Ability to work independently while collaborating
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experience with piezoelectric- or ferroelectric nitrides is an advantage Knowledge of PVD process development and pulsed sputtering is an advantage Proficiency in Python programming Interest in lab-automation
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(PIT-tags, hydrophones, geophones, etc.). 2) Modeling and data analysis: - Proficiency in GIS tools (QGIS, ArcGIS) and hydraulic modeling software (HEC-RAS, TELEMAC, Mike). - Advanced programming (Python
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, particularly EEG; • Programming experience, particularly in R and Python; • Proficiency in statistical methods commonly used in psychology and neuroscience (ANOVA, linear models, etc.); • Familiarity with
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existing pipelines (R/Python) and contribute to development of reproducible analysis workflows. Maintain meticulous experimental records, data organization, and documentation. Support data analysis and
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mechanical fabrication; • embedded systems and sensor integration; • ROS, C++, or Python programming. • Candidates should demonstrate strong practical problem-solving skills
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coding skills in Python with PyTorch, including reinforcement learning, imitation learning, and flow matching/diffusion-based generative models. • Experience designing hierarchical control
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you a recent graduate or final-year student with strong Python foundations, an analytical mindset and an interest in solving business problems? The University of Sydney's Graduate Program is seeking