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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
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for designing and predicting quantum materials/systems/devices; error correction and fault-tolerant architectures; novel quantum algorithms for near-term and fault-tolerant quantum computing; quantum advantage
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About the Opportunity The Postdoctoral Research Associate advances research in mathematical modeling, optimization, and stochastic analysis for large-scale and distributed systems. The role focuses
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, manuscript preparation, meeting with collaborators, etc. In particular, the Research Scientist hired for this position is expected to develop AI algorithms for the directed evolution of proteins with a
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About the Opportunity Job Summary The postdoc will work on an NSF funded project that explores local and regional variation in phenotypic plasticity in response to environmental stress in old field
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direct applications to human health and performance. The postdoc will join a collaborative team led by Dr. C.J. Hasson (Department of Physical Therapy, Movement and Rehabilitation Sciences) and Dr. Peter
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architectures such as convolutional neural networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines
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College and Ayan Paul at EAI and is expected to develop AI algorithms for LLM based RAG systems, work with graduate students working on the same project, and collaborate with academic and industry partners
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work with Ayan Paul at EAI and is expected to develop AI algorithms for drug discovery with a combination of public and proprietary data, develop AI algorithms for variant effect prediction with models
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise