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team members and collaborators Publication track record is an advantage Meticulous and good with data Self-Motivated and takes initiative Independent and can work well with a team Organized and detail
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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generalization across tasks. Hierarchical and modular agent architectures to enable scalable coordination. Design and implement simulation environments, integrating real-world data and domain-specific constraints
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an emphasis on technology, data science and the humanities. We are looking for a Research Fellow to work on AI in mental health. The role will focus on developing predictive models for early detection of mental
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of advanced nondestructive evaluation for civil infrastructural systems: experiments, data collection, simulations, and proposal, for construction. It will eventually contribute to infrastructure safety in
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testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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will be most of the time via remote supervision, to conduct research work as follows: Key Responsibilities: Collects and prepare data/ information/ proposal required for relevant grant call process
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duties (e.g., IRB protocol, research grant administration and accounting, maintaining budgets, submitting reimbursement requests, database management, data entry, and data coding) Working with IT personnel