211 programming-"the"-"DAAD"-"EURAXESS"-"Prof"-"U"-"UCL" Fellowship positions in Singapore
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) or with big, ambitious ideas that extend the lab’s focus. You will receive direct mentorship, generous support, and space to launch a scientific program you can carry with you into a future faculty role
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Strong 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
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maritime transport, marine technology, computer science, or a related field; Excellent programming skills, such as Python, Matlab, C++, or other computer languages; A record of publications in reputable peer
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Requirements: PhD degree in Computer Science, Mechatronics, Robotics, Electrical Engineering or equivalent. Proficiency in programming, software design and development and algorithms. Strong analytical
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to prospective fellows whose ambition is to pursue an academic career - the program is tailored to facilitate such careers. In addition to mentoring in the specific areas of specialization, the CIL Postdoctoral
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should have an outstanding academic record in an accredited PhD program in social psychology, marketing (consumer behavior track), or any related fields. More Information Location: Kent Ridge Campus
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-modal datasets (e.g., biological, imaging, environmental, or clinical data). Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with machine learning frameworks (e.g
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from basic schlenk technique to computational methods with the Gaussian program. Draft detailed reports conveying experimental results and presenting findings to other scientists. Monitor laboratory
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The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary
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the research in combining AI techniques with formal methods techniques (especially program synthesis) to improve the explainability and robustness of AI models Participating in co-operation with Continental’s