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(https://www.precisiononcology.ie ) and is funded jointly by Research Ireland and the National Breast Cancer Research Institute (NBCRI). The post is available from April 2026 to March 2029. The Dwyer Lab
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this early phase of settlement, particularly the routes taken. Main tasks: - Conduct demographic modeling analyses based on human genomic data. - Write a manuscript based on the results of the analyses
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 14 days ago
), financed by national funds through FCT Workplan: The main objective of the fellowship will be to study the effects of heterogeneity in spatially-structured or host-structured multi-species models governed by
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retinal degeneration in the context of ciliopathies, with a particular focus on Alström syndrome, using both in vivo models (particularly murine models) and in vitro systems (fibroblasts, iPSCs, retinal
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future change), which utilises the geological record of glacial change during the last glacial-interglacial transition to isolate seasonal climate parameters needed for modelling future climate. The
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be negotiated based on the selected candidate's availability. Group or Departmental Website: https://we3lab.stanford.edu/ (link is external) How to Submit Application Materials: Please apply via
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. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
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potential in preclinical experimental models. Requirements: Applicants must have obtained their PhD within the last five years and have experience in the study of non-conventional lymphocyte populations, as
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models