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to the R&D of EEG and time-domain fNIRS approaches to the functional measurement of brain activity, with a specific focus on performing analysis of the data and computational modelling of neuro-circuits
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an important role in the development and deployment of research-related, computational tools used in the analysis of bacterial genomes, and the biological interpretation, contextualization and reporting
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of the CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex-A_Tranche-2-Research-Projects-Awarded-Under-CFI-Singapore.pdf ). The primary role involves developing and
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to work at the intersection of state of the art computer science and cutting edge astrophysics. The engineers will design and build analysis frameworks that run on the cloud or high-performance computing
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on the analysis and development of biomarker profiles for the personalized assessment of cardiovascular risks associated with cancer therapy. You will be responsible for: Analysis of murine tissue samples (heart
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on the analysis and development of biomarker profiles for the personalized assessment of cardiovascular risks associated with cancer therapy. You will be responsible for: Analysis of longitudinal blood, plasma, and
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. of Matematica e Informatica duration: 12 months Where to apply Website http://www.unife.it/concorsi Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy
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project investigating the communication systems of cuttlefish using biomimetic robotic platforms. The project combines behavioral biology, robotics, and computational analysis to explore how cuttlefish
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analysis pipelines and contribute to their development to enable reliable insights using heterogeneous data sources. You will work with sequencing data and corresponding metadata as well as with data from
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integrates computational analysis of immune receptor sequencing data, machine learning approaches for TCR prediction, and translational collaboration with clinical and laboratory teams. The successful