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will develop an internationally visible research program in AI-assisted drug discovery at the interface of chemoinformatics, molecular modeling, machine learning, and experimental pharmaceutical research
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HIL environment rather than only on offline simulation. Learning outcomes anticipated include stronger understanding through immediate feedback on live systems, deeper engagement with
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machine-learning approaches. Established markers such as neurofilament light chain (NfL) and GFAP will provide a biological reference point for identifying disease-specific biomarkers. A central part of the
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for University Housing in the University Housing Department. How to Apply: Interested candidates may apply online at https://jobs.coastal.edu/postings/122679 Applicants must submit a cover letter, resume and list
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Attributes for Success: Bachelor's, master's degree, or PhD in Artificial Intelligence, Machine Learning, or related computing or physics field and up to 2 years of relevant experience, equivalent combination
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support for the lab Job Requirements: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in world model, computer vision and deep learning
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scientific-programming skills, practical experience of computational model development, and an interest in applying machine-learning or data-driven methods to physical systems. Experience of QTFs, BEM software
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. Applied machine learning in production, including entity resolution and normalization, anomaly detection, predictive modeling, and feature engineering. Large-scale data engineering, including high
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, national laboratories, semiconductor manufacturers, equipment vendors, and other industry partners. Research directions may include machine learning (ML), deep learning (DL), large language models (LLMs
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for entry into a PhD program. A background in machine learning, inverse problems, scientific computing, or related data-driven methods is highly desirable. You are curious about combining physical modeling