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analyses, at bulk and single-cell resolutions. Good understanding of approaches for inferring gene regulatory networks and for predicting cell-cell interactions. Strong interest in adapting machine learning
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Outer Membrane Vesicles (OMVs) from attenuated, genetically modified Salmonella strains; - Key activities involve applying reverse vaccinology pipelines (in silico epitope prediction and 3D molecular
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, and machine learning applications for developing predictive methods. Desirable requirements: The candidate must possess scientific maturity to solve problems, proficiency in English scientific
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. The fellow will participate in a prospective, randomized, adaptive trial investigating the efficacy of percutaneous electrical phrenic nerve stimulation and intermittent controlled mechanical ventilation in
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position within a Research Infrastructure? No Offer Description Activities and context: To conduct a randomized, controlled, parallel-group clinical trial to evaluate the effects of the BioMedBra Diet
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collaboratively, including interaction with diverse stakeholders; excellent oral and written communication; good command of English. Desirable requirements: Experience in LiDAR data processing and analysis
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involving CONEMO (CONtrole EMOcional), a digital, non-pharmacological intervention based on Cognitive Behavioral Therapy (CBT) and designed to require minimal professional support. This pragmatic, prospective
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related to staff position within a Research Infrastructure? No Offer Description Activities: The fellow will develop and optimize biocompatible micro- and nanosystems for the controlled release of
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on designing and characterizing enzyme-loaded polymersomes with controlled membrane permeability for efficient confined enzymatic reactions. The candidate will investigate how membrane properties affect
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at the Department of Control and Automation Engineering (DECA) at the Sorocaba Campus of the São Paulo State University (UNESP). The position is open to both Brazilian and foreign nationals. Stipend: R$ 12,570.00