17 computational-phd-"https:"-"CIPMM---Systemic-Neurophysiology" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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7 Apr 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage
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) Application Deadline 16 May 2026 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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May 2026 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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) Established Researcher (R3) Application Deadline 17 May 2026 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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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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2026 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Fellow) PhD in Computer Science or a related field (Research Engineer) Bachelor/Master degree in Computer Science or a related field Proven ability to conduct independent research with a relevant
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Fellow) PhD in Computer Science or a related field (Research Engineer) Bachelor/Master degree in Computer Science or a related field Proven ability to conduct independent research with a relevant