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Field
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into the clinical as part of a team. This role is focused on developing computationally efficient deep learning models to perform neuroimaging segmentation tasks to help inform treatment decisions within a busy
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on developing computationally efficient deep learning models to perform neuroimaging segmentation tasks to help inform treatment decisions within a busy neurosurgical centre. In this role the successful candidate
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will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. 'Misconduct' means any
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experiences and individual differences, as well as cognitive modeling of decision-making in both lab and realworld settings. Successful candidates will be supported in building a research program at the
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hazard loss insurance modeling and in the optimization of municipal land use decision-making for risk management. To apply: Application materials must be submitted on-line through AcademicJobsOnline
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: Post-Doc in the area of AI-based solutions for high-level decision-making for robotic systems. Development, testing and evaluation of the co-planner assistant for operation of harvester machine
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to determine the drug susceptibility and resistance liabilities of novel antifungal drugs, across a wide range of fungal pathogens, both alone and in combination with existing antifungal drugs. Areas of interest
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/undergraduate students. The role requires expertise in experimental design, data analysis, and effective communication to produce high-quality results that align with the lab’s goals. Key Duties
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extension. Your Tasks Our overarching goal is to understand the neural mechanisms of cognitive functions, focusing on learning, attention and decision making. We investigate the contribution of subcortical
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problems. Ability to exercise sound judgment in making critical decisions. statements are intended to describe the general nature and primary responsibilities of this core job profile. Specific duties and