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collection, data analysis and drafting manuscript. The appointee is expected to work with researchers at Life Science Imaging Center (LSIC). LSIC is a central research facility (https://lsic.hkbu.edu.hk
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Job Description FACULTY OF ARTS AND SOCIAL SCIENCES ACADEMY OF WELLNESS AND HUMAN DEVELOPMENT Research Fellow / Senior Research Associate (24250392) The appointee is expected to conduct cognitive
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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publications and presentations. Required Qualifications – Experience, Education, Knowledge & Skills PhD in Electrical Engineering, Physics, Earth Sciences, or related field. Demonstrated expertise in developing
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, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes. See further information at the lab webpage: https://odin.mdacc.tmc.edu
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Science and Engineering, Electrical Engineering, or other relevant areas Knowledge in integrated photonics, quantum optics, and microwave engineering Experience in nano/micro-fabrication is highly desired
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 13 hours ago
Qualifications: Bachelor’s degree in Mechanical Engineering Proficient knowledge of the finite element method for structural analysis using Abaqus® software Advanced knowledge of programming languages such as
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completed) in Physics, Applied Physics, Material Science and Engineering, Electrical Engineering, or other relevant areas Knowledge in integrated photonics, quantum optics, and microwave engineering
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AI applications as well as Python-based coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine
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Computer Science, Computer Science and Engineering or related area. Additional optional skills and qualifications: Proven track record in ontology alignment, machine learning with biomedical data, and knowledge