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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | 2 days ago
limited to: Problems at the intersection of cybersecurity and artificial intelligence/machine learning (AI/ML) Systems and Software Cybersecurity: secure hardware, OS, network, and cloud/edge systems Usable
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competitive ERC. The project focuses on the development of a first-principles, machine-learning-accelerated computational framework for modelling polymorphism, anharmonicity, and electron–phonon interactions in
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policymakers Qualifications This position requires a PhD in Software Engineering, Computer Science, Computer Engineering, Information Systems, or a closely related field. Technical Expertise in one or more of
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Certificates/Credentials/Licenses N/A Computer Skills MS Office and willingness to learn software used in the research lab Supervisory Responsibilities No Required operation of university owned vehicles No Does
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(IST) Experience Early Skills and Qualifications PhD in Physics, Electrical and Computer Engineering Degree PhD Employment Type Full Time About the position A research position for one Research Grant
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condition: work experience related to modular curves, Galois representations, modular forms or machine learning for number theory. The supporting evidence should include a list of published papers
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17 Dec 2025 Job Information Organisation/Company Johannes Kepler University Department Institute for Machine Learning Research Field Computer science Researcher Profile Recognised Researcher (R2
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well connected to the machine and transportation, high precisionindustriesand I am eager to learn how academic research can be linked to industrial innovation roadmaps. During my PhD I want to grow
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data
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. Into the second year, the project moves toward methodology refinement and Machine Learning integration. The student will execute a more ambitious cycle with a complex alloy system and integrate machine learning