96 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF"-"https:"-"https:"-"https:" positions in Singapore
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of statistics and machine learning models Proficiency in coding using Python Knowledge of biomechanics and computer vision is a plus Experience in the following skills is a plus: (1) biomechanics software (e.g
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equivalent. Strong background in machine learning and computer vision. Prior experience in data-efficient classification, synthesis, and detection is preferable. Strong coding skills in scientific
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guidance. Develop documentation, training materials, and reusable code templates. Requirements Bachelor’s degree in Computer Engineering, Sciences or its equivalent. Hands-on experience with CUDA, OpenCL, C
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to code in Python Able to write academic papers Responsibilities: Liaison with school and MOE partners Organisation of meetings Coordinating with other team members Conduct literature reviews Assist in
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other course administration tasks, exam/test invigilation etc. Able to teach and/or support at least 3-4 BT/IS-coded courses, with at least 1-2 foundational courses at levels 1000 and 2000. See here for a
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operational aspects Strong organisational and multitasking skills, with the ability to prioritise and manage multiple tasks and responsibilities Possess professional values that are in line with the Code
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the ability to prioritise and manage multiple tasks and responsibilities Possess professional values that are in line with the Code of Ethics of SAC Possess good interpersonal and communication skills
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coding using R, Python, or similar programming languages. Proficiency in written and spoken English and Mandarin, to prepare a range of different assessments, tasks, and research outputs (e.g. journal
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, with a focus on empathy Maintain code repository and documentation standards Contribute to community engagement activities such as sharing via technical session meetups and article write-ups, and
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Responsibilities: Conduct and coordinate extensive software coding on the latest research platforms, Gain familiarity with existing research on diffusion models, particularly in relation to conditioning and guidance