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Field
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instrumentation such as flow cytometry and confocal imaging. Prior experience in vaccine studies. Equipment Use of personal computer and proficiency in software and research statistical applications. Working
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and multidisciplinary engineering teams to support system integration, ensuring alignment between modelling, experimental validation, and overall system performance. Key Responsibilities: Design and
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will be working on projects related to artificial intelligence for medical imaging. You will be responsible for the following: • Develop and pursue a research program in artificial intelligence
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. The successful candidate will work within a multidisciplinary research program. In this role, you will co-lead and contribute to a behavioural economics clinical trial focused on translating clinical practice
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will have opportunities to participate in synchrotron and national-facility experiments and to help translate discovery and prototype development into meaningful clean-energy impact whilst contributing
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with 5+ years experience OR Master's degree with 2+ years experience in Biomedical Engineering, Mechanical Engineering, Electrical / Electronic Engineering, Computer Engineering, HealthTech, MedTech
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Bioinformatics and computational biology for multi-omics integration and biomarker discovery. High-dimensional data analysis from targeted arrays and imaging platforms. Coordination of biological sample pipelines
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
to harness organ-on-a-chip technology to study metastatic dissemination in gastric cancer. We propose a xurography-based technology to fabricate a prototype of a multi-organ-on-a-chip microfluidics platform