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Field
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/ML models and hardware/software co-design for AI applications. ● Radiation testing of electronic systems, with an emphasis on single event effects. Preferred Qualifications: ● Experience in
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should possess experience in robotics, drones, UAVs, multi-robot systems or smiliar, and practical applications of LLMs, agents, RAG, MCP, or fine-tuning. Proficiency in software development (Python, C/C
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devices, with emphasis on lithium-ion, sodium-ion, and lead-acid battery systems. Modeling and analysis will leverage tools such as COMSOL, MATLAB, Excel, Python, and related scientific software. The role
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in neuro-symbolic AI / verifiable reasoning, demonstrated by publications and/or impactful preprints/software * Experience with at least one of: 1. LLMs for structured reasoning (autoformalization
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software. (0-35) Experience in the application of advanced machine learning techniques (e.g., graph neural networks, reinforcement learning, probabilistic models, or latent representations) to biomedical
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of surface chemistry and catalysis, DFT and ML. She/he must be familiar with VSAP software and Python. She/he must be rigorous, curious and able to communicate in English. She/he must be proactive in
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experts in biotechnology, mechanical engineering, software, and robotics. The candidate will have a broad remit to take leadership roles in the research team, including by co-designing new research
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and collaborators via virtual meeting software (Zoom, Teams, WebEx, etc), phone, and email. Work Environment: Must pass employee health clearance, TB Test and required safety training. Clinical/office
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or software (provide publication and github links). Cover letters are highly desired from applicants. Please address to Dr. Andrew Fiore-Gartland and include a short statement of research interests. The annual
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Simulations (INMA, Zaragoza) Build and maintain software infrastructure for modeling quantum systems with machine learning tools. Investigate neural-network-based representations of many-body quantum states