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State University of New York University at Albany | Albany, New York | United States | about 24 hours ago
strong records of research accomplishments. More information about the SUNY Empire Innovation Program can be found here: https://www.suny.edu/eip/. The successful candidate is expected to develop
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design and realization, including machine learning (ML) and artificial intelligence (AI) applications, autonomy, cognitive and distributed sensing and communication, advanced manufacturing, and decision
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. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures: Investigate and design optimal computing and communication architectures for hardware
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computing systems design and realization, including machine learning (ML) and artificial intelligence (AI) applications including autonomy, sensing and communication, advanced manufacturing, and decision
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design (TCAD) tools should operate at the ab-initio and quantum mechanical level. Moreover, they should capture the interplay between electrical (voltage-induced currents), thermal (excitation of crystal
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measurement system • Task 2. Electrical-electronic design and implementation of a mobility flow system • Task 3. CAD design and construction of 3D prototypes • Task 4. Document management and equipment
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Machine Translation/Large Language Models/Speech technologies and practices. Designing, performing and analysing eye-tracking experiments. Providing scientific and technical support to group members
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on design of mixed-signal circuits. - Valuable Knowledge of comercial design tools like Cadence / Synopsys. - Competence in computer architectures and digital system design with HDLs (Verilog or VHDL
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. in Computer Engineering, Electrical Engineering, Computer Science or a closely related field. Areas of expertise may include, but not limited to, Networks and Systems, Internet of Things (IoT
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candidate will teach core and elective courses in biomedical engineering, with a focus on one or more of the following areas: experimental analysis and design, product design, data science, machine learning