19 programming-"the"-"DAAD"-"IMPRS-ML"-"IDAEA-CSIC"-"U"-"U.S"-"https:"-"INSERM" positions at Hong Kong Polytechnic University in Hong Kong
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the project leader in the research project - “Nonlinear conic programming: Theory, algorithms and software”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants
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management or a related field, or an equivalent qualification; (b) proficiency in programming, including Python and Matlab, data analysis, and standard Microsoft Office Suite; (c) a publication record
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) assist in the creation of written Chinese (Mandarin) language stimuli; (b) assist in the creation and recording of spoken Mandarin language stimuli; (c) assist in designing and programming
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required to: (a) undertake specific research project(s) under the guidance of a project leader and contribute to the development of research activities; (b) develop computer programs to assess
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the project leader in the research project - “Solving linear relaxation problems of mixed inter programming”. Qualifications Applicants for the Senior Research Fellow post should have a doctoral degree with at
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to learn research software (e.g., SPM, E-Prime, and PsychoPy) and programming languages (Python, MATLAB, and R) are most preferred. Applicants are invited to contact Dr Manson C. M. Fong at telephone number
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, particularly in medical imaging; and (b) strong interests and programming skills in Python, with experience in deep learning frameworks. Applicants are invited to contact Dr Shi Danli at telephone number 2766
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disciplines; (b) have a good knowledge of data analytics, artificial intelligence and programming skills; and (c) be willing to learn translational research methods, data processing and data analysis
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) have solid computer science fundamentals, and proficiency in Python programming; (c) be skilled in common databases, with strong operational and maintenance abilities; (d) have excellent
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programming (e.g., Python, R, or Stata). Preference will be given to candidates with prior research experience in data-driven projects. Applicants are invited to contact Prof. Xiaolin Li at telephone number