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spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed—ideally a creative use
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of novel mechanistic insights is gained through the application of novel probabilistic deep-learning models that automatically extract biological and statistical knowledge from your in vivo perturbational
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. Broward College places special importance on helping under - prepared students achieve academic success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to
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possess a PhD or be close to completion of a doctorate in accounting from an AACSB accredited University. The ideal candidate is expected to conduct high-quality research, teach both undergraduate and
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subgroups Support public health policy, prevention and hospital planning Provide meaningful feedback to patients, clinicians and policymakers The PhD will work at the interface of machine learning, deep
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into actionable insights, novel tools, and impactful research outcomes. Key Responsibilities Develop, implement, and optimise AI/ML models (artificial intelligence/classical machine learning, deep learning
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expertise in data science, machine/deep learning, biomedical informatics, trustworthy AI, and health-related applications. The research group has an established track record in coordination and participation
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX
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on human behavior modeling related to video classification using deep learning networks for end-users. Work with other team members to develop and maintain software for maximum efficiency and usability
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position at the global vanguard of data science and artificial intelligence. The successful candidate will lead a distinguished faculty and a vibrant community of researchers dedicated to bridging deep