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position within a Research Infrastructure? No Offer Description Activities and context: The fellow will develop machine-learning interatomic potentials (MLPs), trained on density functional theory-DFT data
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Experience in plant breeding for resistance to biotic and/or abiotic stresses, programming, machine learning, and genomic data analysis. Desirable requirements 1. Cost-effectiveness assessment: rapid
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chromatography. The candidate will prepare samples for immunopeptidomics by liquid chromatography coupled with mass spectrometry tandem (LC-MS/MS), analyze large datasets, and develop scripts and machine learning
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; • Familiarity with statistical analyses and modeling as well as machine learning approaches, supported with strong skills in computational optimization of methods; • Experience working with large-scale datasets
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to staff position within a Research Infrastructure? No Offer Description Activities: The post-doctoral researcher will develop machine learning models to evaluate the effectiveness and cost
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: Experience with electrochemical techniques applied to the characterization of interfaces and charge-transfer processes; nanostructured materials and thin films; surface functionalization and aptamer, antibody
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: For the application, fill out the online form at: https://forms.gle/9hkPcnEwJPdefjXc9 . Deadline: September 15, 2026. Where to apply Website http://www.fapesp.br/oportunidades/9702 Requirements Additional Information
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Access the RCGI Opportunities page at https://sites.usp.br/rcgi/opportunities/ . Find the position's code (26PDR333) and click “Apply” to submit your application. This opportunity is open to candidates
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information, please visit: https://www.labcidade.fau.usp.br/vaga-de-pos-doutorado/ . Mandatory requirements: Applicants should have expertise in urban and regional planning, housing or rental housing policy
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monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent on items directly related to the research activity. Where to apply Website http