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                of the recruitment and description of the project] * Background of the recruitment and description of the project (Immediately after hiring) Conduct research in nonlinear optimization under the supervision of Prof 
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                intelligence, deep learning, media data processing including images and videos, etc., including their applied fields) B) Optimization and related fields (optimization algorithms, mathematical optimization 
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                , computational/statistical learning theory, optimization, cryptography and security, information theory and/or nonlinear theory. Job Description: -The successful candidate is expected to conduct research and 
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                for the analysis of biosignals and motion data, as well as for the automation and optimization of experimental processes (device fabrication and evaluation), in order to accelerate research and open up new 
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                singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas of interest include Potential Theory, Harmonic Analysis 
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                Mathematics/Optimization. Requirements: These positions are open for Assistant, Associate, or Full Professor level, depending on qualifications. The candidate must have a PhD in Computer Science/Artificial 
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                of the recruitment and description of the project Next-generation intelligent information processing fields (machine learning, optimization, control, simulation, bioinformatics, materials informatics, energy 
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                of the recruitment and description of the project Next-Generation Intelligent Information Processing Fields (machine learning, optimization, control, simulation, bioinformatics, materials informatics, energy 
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                of the project] * Background of the recruitment and description of the project Numerical Analysis (Numerical Algorithms), Mathematical Optimization, Operations Research, Machine Learning, Mathematical Statistics 
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                staff member who can engage in research on system control and mathematical sciences such as control theory, dynamical systems theory, and/or optimization. The successful applicant will be responsible