229 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" Fellowship positions in Singapore
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), MEng/MSc (Research Associate) in Electrical Engineering, Computer Science, Statistics, or other related fields. Solid Mathematical skills. Experience in one of the programming language – Python, Matlab
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grids and microgrids. Proficient in MATLAB, LabVIEW, or similar programming languages. Experience in power systems simulation software packages such as MATLAB/Simulink or OPAL-RT. Strong analytical and
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related fields. Proficient in common programming languages such as Java, C/C++ and Python. Experience in developing and implementing Machine Learning and AI algorithms. Good written and oral
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. • Solid knowledge of numerical methods, including optimization, linear algebra, and geometry processing. • Experienced on GPU programming, familiar with cuda thread scheduling, allocation, and
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programming skills in MATLAB Excellent written and verbal communication skills Positive and collaborative working attitude Excellent problem-solving skills Knowledge of PDE and computational methods 2+ years
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Responsibilities Designing and managing a programme of research to meet agreed objectives. Working closely with experimental and data scientists in the group to ensure the progress of the project. Oversee
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Responsibilities Designing and managing a programme of research to meet agreed objectives. Working closely with experimental and data scientists in the group to ensure the progress of the project. Oversee
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Responsibilities Designing and managing a programme of research to meet agreed objectives. Working closely with experimental and data scientists in the group to ensure the progress of the project. Oversee
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) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and clinical-translational studies, with a special
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programming skills: Python/MATLAB. Communication: Excellent writing and presentation skills for technical and non-technical audiences. Preferred: Knowledge of electricity markets, renewable energy policies. We