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and enjoy a benefits package designed for you and your family: Paid Time Off – Generous vacation, holiday, sick, and military leave Retirement Contributions – Purdue contributes up to 8% of your annual
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expertise in machine learning, soil microbiomes, microbial 3D printing and biophysics, our team has access to a broad spectrum of techniques and practical know-how. This is therefore an exciting opportunity
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science, and machine learning applications in healthcare and research. Experience designing and deploying scalable AI systems for healthcare, preferably including one or more radiology, digital pathology
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materials and technologies. Using advanced computational modeling and machine learning, we seek to elucidate the mechanisms governing the self-assembly of lignin in different solvents and the formation
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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Lecturer position of History, beginning August 2026. We seek candidates who demonstrate a passionate commitment to undergraduate teaching and who can teach a broad range of general education courses in
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Institute More Jobs from This Employer https://main.hercjobs.org/jobs/21940129/research-technician-antibody-discovery-and-chimeric-antigen-receptor-car-production-characterization Return to Search Results
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computational resources to ensure the efficiency of analysis, modeling, and machine learning tasks. The researcher also contributes to defining policies that ensure security, service continuity, and scalability
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Illes Balears (UIB) / University of the Balearic Islands (UIB) Where to apply Website https://ppi.uib.cat/ Requirements Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 14 days ago
or territorial studies. Preference will be given to candidates with aptitude for working in disaster risk management environments supported with GIS and Machine Learning, basic programming skills (e.g., Python, R