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of HW/SW design for AI-driven Resource Constrained Intelligent Systems (AIRCIS), including IoT devices, robotics, and drones. We are interested in candidates who can work on interdisciplinary teams
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of HW/SW design for AI-driven Resource Constrained Intelligent Systems (AIRCIS), including IoT devices, robotics, and drones. We are interested in candidates who can work on interdisciplinary teams
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Pharmacy (Ref.: 534630) We now invite applications for the captioned post. Duties and Responsibilities Design and conduct research on the epidemiology and pharmacoepidemiology of age-related diseases
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personnel Provide recommendations and guidelines on experimental design, research direction, data analysis, imaging and microscopy work, and assist in brainstorming and planning future research projects
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at Therapeutic Drug Monitoring (TDM). Within the framework of our European Innovation Council (EIC) grant ‘Automated Clinical Platform for Personalized Antibiotherapy in Critical Units Based on Surface Enhancement
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detection, and uncertainty assessment Design and evaluate robust data pipelines for industrial monitoring systems Participate in project meetings, workshops, and collaboration activities within the GreenFab
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part of the NURISH (NURturing transformative capacities, Innovation in NBS and Harmonious resilience in rural areas) project. It is funded by the Horizon Europe Grant for Culture, creativity and
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in peer‑reviewed journals, present at scientific meetings, assist with grant preparation, and independently pursue external funding. Core responsibilities Research: Design, execute, and troubleshoot
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Instituto de Tecnologia Química e Biológica António Xavier ITQB NOVA | Portugal | about 19 hours ago
of “Regulamento de Bolsas de Investigação da Fundação para a Ciência e a Tecnologia, I.P. from FCT”, law in force. Working Plan: We seek to explore a new class of multivalent glycoconjugates for bacterial toxin
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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation