36 computational-physics "https:" "https:" "https:" "https:" "Caltech" positions at Singapore University of Technology & Design
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programme at the intersection of optics, electrical engineering, artificial intelligence, and experimental biology, with the aim of building closed-loop, autonomous experimental platforms that accelerate
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the PhD Programme in the Host University, and envisages future employment in SUTD. The SUTD–GEMS is tenable for a period of up to 5 years. Eligibility Criteria Singapore Citizen Singapore Permanent Resident
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, Bioengineering, Applied Physics, Engineering Physics/Science, or related field. Hands-on experience in microfluidics, MEMS, biosensing, or bioreactor design. Knowledge of cell culture systems, organoids, or tissue
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. Bachelor’s degree in Business Administration, Process Management, Information Systems, Computer Science or related field. Fresh graduates are welcome to apply. Automation and Streamlining: The associate will
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, curriculum development, and industry-engaged projects spanning: Advanced and additive manufacturing Materials design and processing Digital manufacturing and Industry 4.0 Process–structure–property–performance
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-centred design and AI, with a focus on how AI technologies—such as natural language processing, computer vision and sensors—can be leveraged to enhance the human condition. The candidate will contribute
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given - Perform microscopy and nanodevice analysis Program and design PLC systems Apply Computer Vision for machine hardware feedback and control Generate technical reports, white papers, and
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classes and at least two of the core Computer Science and Design (CSD) pillar courses. Opportunities to teach at the Master's level or continuing education and training programmes may also be available
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Job Requirements Strong network in industries related to computer science. Ability to develop and teach undergraduate- and master-level courses in computer science and relevant fields. Ability
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Master’s degree in psychology, cognitive science, human-computer interaction, communication science, or a related field. Background in some empirical research methods (quantitative, qualitative, or mixed