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develop independent research ideas. • Collaboration with postdocs, PhD students, engineers, and external partners across academia and industry. • Professional growth in both fundamental quantum
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Required educational qualification, experience, skills and competencies: PhD in Stem Cell Biology, Molecular Biology, Synthetic Biology, Immunology, Bioengineering and at least 2 years postdoc experience in
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processes, stochastic control, optimization, or reinforcement learning; • Solid mathematical training and ability to work with rigorous proofs; • Familiarity with Markov decision processes, dynamic
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proving theorems, and numerical, i.e., converting algorithms into circuits and simulating them. The job will involve proof-of-concept hardware demonstrations of quantum algorithms. The job will involve
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application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is ideal for a researcher with a passion for solving complex problems at the intersection
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systems or proof-of-concept demos. • Design, code, and optimize robust deep learning pipelines • Project reports writing and presentation. Qualifications • Possess a Bachelor degree or above in
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Management Science journals, and/or the MSOM journal. The candidate should be able to understand the model, the algorithm(s), the main results and the proofs in a paper. • Experiences with submitting (new
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capabilities, and AI-driven defect detection. The Postdoc will act as the technical lead, coordinating with RAs, industry partners, and PI to deliver integrated R&D outcomes. Key Responsibilities A.Novel
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, testing, technical evaluation, data collection and implementation for Proof of Concept (POC) and deployment in community-care or healthcare settings. Industry Collaboration Support collaborations with
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efficiency. All applicants should submit the following: A cover letter specifying how your qualifications match the job description. A detailed curriculum vitae. 2 published articles or writing samples. 3