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Field
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lead the design, statistical optimisation and validation of assays for clinically relevant bladder cancer targets. Their central objective will be to develop an algorithmic workflow to detect new target
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and data analytics; Development of marine geophysical survey and machine learning algorithms; Process geophysical/geomechanical data and analyze the data using machine learning; Conduct research
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analysis, algorithm development, simulation, and hardware-in-the-loop experimentation. The Research Fellow will work closely with the Principal Investigator and collaborators/students across NTU Singapore
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new theory, models and algorithms in the areas of computer aided design, geometric modeling, deep learning, LLMs, etc. Develop and implement algorithms and prototype tools for 3D content generation
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that includes medical image processing, Artificial Intelligence (AI) algorithm development, and scientific writing. Gain clinical experience including training in radiation oncology software, imaging including
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conferences and/or research stays at foreign educational institutions Supervision of students and contribute to relevant teaching activities Mentoring PhD students, helping them with their research projects
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conferences and/or research stays at foreign educational institutions Supervision of students and contribute to relevant teaching activities Mentoring PhD students, helping them with their research projects
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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algorithms for cooperative target tracking in complex environments. The role will focus on multi-agent reinforcement learning, decentralized target assignment, occlusion-aware decision-making, and
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Research Fellow in “Deploying geometrically-designed algorithms” The Nanyang Quantum Solutions team led by Prof. Marek Gluza at NTU Singapore is seeking a new member to tailor quantum circuits based