336 systems-science-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" Fellowship positions in Singapore
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 03/03/2025 Job Description This position is for a full time Research Fellow in the Laboratory of Immunity and Immune
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pathways) are desired. Experience in handling 2D and 3D cell cultures such as hepatocytes, adipocytes or skeletal muscle cells is essential. Molecular Biology skills (RNA/protein extraction, qPCR, western
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. The successful candidate will work with an interdisciplinary team of scholars based in Singapore to advance research and develop solutions to tackle online toxicity. The contract is for 1 year and is renewable up
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The Edge AI Acceleration Group at the Singapore University of Technology and Design is looking for a motivated Research Fellow to join us in pushing the boundaries of edge AI acceleration. We focus
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or a related field. • Extensive experience and expertise in working with 2D TMDC materials. • Proficient in advanced electrical and optical characterization techniques and semiconductor device physics
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agencies. Qualifications • PhD in Robotics, Mechanical Engineering, Mechatronics, Computer Vision, or a closely related field. • Strong expertise in robot design and at least one of
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building • Analyze field data and contribute to high-quality publications and project reports Qualifications Qualifications and Skills: • PhD in Mechanical or Electrical Engineering, Control Systems, or a
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related discipline (Neurobiology, Computer Science, Statistics, Epidemiology, Systems Biology, Computational Biology). ● Proven research track record with publications or preprints in relevant domains
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background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one
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discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl