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candidate for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders
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algorithm design skills Expertise on ML tools for chemistry, in particular, generative AI Experience with Python, ML, and AI for chemical applications Job Description: A Post-doctoral Associate in
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properties. Keywords Machine Learning; Artificial intelligence; Materials Science; Autonomous Experimentation; algorithm development; materials property prediction Eligibility citizenship Open to U.S. citizens
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Required skills/knowledge includes: Data science/algorithm development Data science / Machine Learning languages to include Python Research, development and implementation of machine learning models
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: Data science/algorithm development Data science / Machine Learning languages to include Python Research, development and implementation of machine learning models Preferred skills/knowledge includes
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, interdisciplinary research environment with strong focus on mentoring and career development. Starting date upon individual agreement and preferably no later than 1st of April 2027. The fellowship period is three
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optimization Experience with large-scale algorithm design and implementation Knowledge of decision making under uncertainty Ideally, some exposure to machine learning methods A passion for research
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receiver architectures that enable power-efficient signaling at the maximum allowable spectral efficiency. The project will cover both algorithm development and experimental implementation. We offer an
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quantum chemistry, machine learning, algorithm development, or chemical applications. What to expect: Develop new computational approaches for challenging molecular reactions where conventional
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Job Description Funded by the Danish e-Infrastructure Cooperation - DeiC National Quantum Algorithm Academy , we have an opening for a three-year PhD position in the group of Professor Sonia Coriani