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and biophysics, good computer programming skills, and working knowledge of UNIX, phyton, and shell scripting is highly desired. Experience in molecular simulation softwares and analysis tools such as
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collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer Science, or a related field. Extensive and sound knowledge of ML, AI, DNN, LLMs/VLMs, Multimodal LLMs, RAG, Agentic
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thrusts. Good programming and analytical skills, and willingness to work with new technologies/systems. Excellent communication skills and the ability to work effectively in a collaborative environment. For
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-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good
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at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; Assist the supervisor
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with less than 5 years post receipt of PhD. Demonstrated research experience in at least one of the lab’s research thrusts. Good programming and analytical skills, and willingness to work with new
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techniques such as metadynamics, UFED, path sampling, milestoning methods; machine learning applications in chemistry and biophysics, good computer programming skills, and working knowledge of UNIX, phyton
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and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications