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Advisor II is an experienced advising professional who independently manages a varied student caseload while consistently applying the university's RISE Developmental Advising Model and departmental
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. -Knowledge of psychiatric practices in a variety of clinical, teaching, and research environments, as well as a demonstrated ability in teaching students at all levels in an academic environment. Required
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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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(e.g., ROS, MoveIt) and hardware integration. Knowledge of machine learning, reinforcement learning, or vision-language models for robotics is a plus. Hands-on experience with robotic arms (e.g., UR5
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preparation based on their knowledge and experience. Proper and safe techniques must be utilized in training and game situations to ensure the health and well-being of the students is a top priority. Risk
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | about 20 hours ago
specifically in neurons exhibit a spectrum of behavioral abnormalities characteristic of mouse models of psychiatric disorders. The primary scope of the current project is to dissect the functions of AMOTL1 in
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to medium level skills in programming, image analysis and electronics • Solid knowledge and hands-on experience in light and electron microscopy. • Solid formation in genetics, statistics and molecular
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
additional days per year, including your birthday Minimum Requirements: PhD in Engineering Experience in Machine Learning, Deep Learning, reduced-order modeling, or physics-informed models Knowledge
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, Administrative Services with the development, refinement and implementation of Standard Operating Procedures, and modelling proficient use of approved University systems. Maintain comprehensive and current
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-term performance. The research will study how porous architecture influences mechanical behaviour and fatigue under physiological loading. Finite element modelling, computational optimisation and