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graduate students, and collaborate with clinicians and other collaborators of the lab. MINIMUM QUALIFICATIONS The candidate should have a PhD degree in biomedical/electrical engineering, computer
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and contribute to research proposals, contracts, and technology transfer documents, supporting funding and commercialization opportunities Actively contribute to building strategic partnerships with
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through peer-reviewed publications, presentations, and technical reports Write and contribute to research proposals, contracts, and technology transfer documents, supporting funding and commercialization
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collaborates with faculty, students, and external partners to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer
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medical device environments is highly valued. PhD in computer science, electrical engineering, biomedical engineering, cybersecurity, or a closely related field Strong record of peer-reviewed publications
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to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field by start
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, materials science, chemical engineering, bioengineering, or a closely related field. The candidate should have strong problem-solving skills and be highly motivated. Programming skills (Python or Fortran
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and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
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grants, and develop their ideas further towards academic independence. Qualifications PhD in Mechanical Engineering, Biomedical Engineering, Robotics, or similar. Position Type Research Additional
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machine learning. Ph.D. in Materials Science, Physics, Chemical Engineering, or related field. Strong interpersonal and communication skills. Excellent publication track-record and basic experience with