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methods, such as Convolutional or Bayesian Neural Networks, Simulation-Based Inference (SBI), Normalizing Flows, or Diffusion Models, is also a plus. The position includes a competitive salary, research
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State University of New York University at Albany | Albany, New York | United States | about 14 hours ago
highly quantitative and systematic manner, bridging levels of analysis from microcircuits to large-scale neural networks. As neuroscience becomes increasingly data-driven, the need for expertise in
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networks overlap and differ across species, providing insights into the evolutionary origins of brain function and the neural basis of cognitive functions such as language, working memory, and theory-of-mind
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at the intersection of artificial intelligence, robotics, machine learning, and human-robot interaction. Project description The focus of the project is machine learning and specifically the development of novel neuro
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Brain Health, to be located at the Boston campus. We are particularly interested in candidates at the intersection of music, brain health and artificial intelligence qualified for a joint appointment
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research projects. Preferred Qualifications: Experience in image grading, image analysis, machine learning, clinical data analysis, and clinical study design is desirable. Knowledge of neural network and
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Eligible Salary: Salary commensurate with education and experience Criminal Background Check: Yes About the Department: Mason?s Department of Bioengineering, https://bioengineering.gmu.edu, has 14 faculty
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learning principles, including supervised and unsupervised learning, neural networks, and AI model evaluation techniques; satellite communications: knowledge of satellite systems, mission control operations
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State University of New York University at Albany | Albany, New York | United States | about 14 hours ago
to the university, college, and department. Key areas of interest within this focus on computing and artificial intelligence include, but are not limited to, neural networks, error correction, and system architecture
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
quality. Secondly, different machine learning strategies based on traditional supervised learning techniques (e. g. random forest (RF), artificial neural network (ANN)) will be applied using the parameters