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involve working closely with teams conducting parallel work with preschool children and adolescents within the ‘All About Me’ project. What We Offer As an employer, we genuinely care about our employees
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to multi-task and run multiple experiments in parallel. You will be well organised and able to work effectively as part of a collegiate team to manage the laboratory and assist other researchers in working
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algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
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will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in
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contribute to the CELECT work package on AI-Assisted Engineering. The research will focus on developing AI-assisted methods for parallel hardware-software co-design of mechatronic systems, enabling virtual
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on competence: contributing to research software development supporting simulations and/or data workflows (HPC/parallel environments), and open/reproducible release of data and analysis scripts under FAIR
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organizational skills, meticulous record-keeping, and ability to manage multiple parallel experiments. -Demonstrated independence in research and problem-solving. -Track record of peer-reviewed publications
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 18 days ago
are neutral? Which rare variants impact in enhancers’ activity? and What is the penetrance of that impact? To address these questions, massive parallel reporter assays (MPRAs) have been developed to test in
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algorithms will be assessed for neurodegeneration mapping in Alzheimer’s disease brain organoids. In parallel, the technology and algorithms will be applied to fish health research, supporting studies on ulcer
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learning frameworks (e.g. PyTorch, TensorFlow) and relevant libraries. Practical experience inscalable data processing, including the use of parallel computing, cloud platforms,and distributed systems