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Field
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a scientific article for submission to an international peer-reviewed journal. The timeline and scope of the manuscript will be adapted to ensure feasibility within the contract period. In parallel
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productivity while reducing external inputs. In parallel, the lab is expanding efforts to understand microbiome-associated phenotypes that contribute to drought tolerance and soil water retention. This includes
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parallel experiments involving large fly populations (e.g., lifespan and longitudinal exercise studies). Track genotypes, experimental timelines, and datasets with high accuracy. Perform molecular and
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months 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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parallel training, and end-to-end modern machine learning pipelines. Ability to conduct independent research, critically engage with emerging challenges in AI efficiency and sustainability, and collaborate
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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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-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources
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parallel computing. Demonstrated hands-on experience and understanding of developing scientific data management, workflows and resource management problems. Strong problem-solving and communication skills
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journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation
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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