644 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at Nanyang Technological University
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have the ability to be excited about working in a diverse lab group setting, plan and conduct assessments independently and collaboratively, interpret data, and present results to diverse audiences
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the following areas: Matlab and/or Python proficiency for data processing PCB designing and/or microprocessor programming (ARM) Rapid Prototyping (3D printing, Raspberry Pi, FPGA) Optional experience
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renewable contract. Key Responsibilities: Run infrastructure/system operations in Energy Research Institute @ NTU (ERI@N) Ensure that all program and department operations run seamlessly. Manage the
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but are not limited to: Collaborate and work closely with all stakeholders to achieve programme admission goals, fostering a collaborative approach to success. Supports the application and admissions
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. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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; support innovation pilots using real-time engines and AI. Manage a team of full-time and part-time staff, coordinating schedules, project support, and technical delivery across peak periods. Plan and
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microclimate and connectivity data provided by NUS Ecology and Geospatial teams. The Researcher may also be enrolled as a part-time PhD or Master’s student at NTU, in EEE or a related programme. Key
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for the management of buildings and building services in the Academic Zone, ensuring they always remain fully functional and operational. Key Responsibilities: Plan and supervise maintenance activities to ensure
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, liaise with vendors for servicing, and support software/IT needs for lab operations. Conduct training on electronic test equipment, programming languages (e.g., MATLAB, LabVIEW, Python), and data
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characterization (SEM, TEM, XPS, FTIR, etc.) Programming skills (Python, MATLAB, or similar) Exposure to machine learning methods (e.g., Bayesian optimization, active learning) is an advantage Understanding