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) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena
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education and support your academic and professional goals. Along the way, you will engage in activities and research in several areas. These include, but are not limited to, Learn how to communicate data and
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transcriptomic data, that will be integrated with clinical metadata and whole-genome data for developing machine learning models to identify and predict patient factors driving toxicity response and sensitivity
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independent thinkers, curious and intrinsically motivated, with a passion for basic research. Postdoctoral fellows in the lab bring or learn diverse tools, including: Protein expression and purification
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element method, wave propagation analysis, inverse problem, machine learning (ML), and artificial neural network. Strong background in research publications in the desired field. Experience mentoring other
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to learn and master CAPS computer software such as PNC and other software as needed (Preferred) Strong interpersonal skills - Required Demonstrated ability to work as part of a mental health team in
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, brain science, and neuroscience); data science and machine learning; modeling, analysis, simulation and prediction for biological, engineering, physical and quantum systems; probability theory and
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, computational biology, computer science, data science or a related subject area and proven knowledge of python programming, developing machine learning/AI based tools and HPC. You will be expected to work as part
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Knowledge of laboratory maintenance and equipment. Knowledge of computers and computer software related to the position. Salary: Compensation will be commensurate based on the selected hire’s education and
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include (i) supervising law students in related matters and serving as a mentor and role model to law students in the clinics; (ii) helping to design and teach clinic seminar classes; and (iii) sharing in