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of myocardial fibrosis using 68Ga-FAPI-04 PET/CT (Protein Positron Emission Tomography associated with Computed Tomography using Gallium-68-labeled Fibroblast Activation Inhibitor), integrating multimodal imaging
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21 Mar 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Geosciences Researcher Profile Established Researcher (R3) Application Deadline 24 Apr 2026 - 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job...
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Educational background and field of knowledge: Agricultural Engineering/Agronomy or related fields, with a focus on Plant Pathology. Specific Requirements The candidate must hold a PhD degree with a thesis
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position within a Research Infrastructure? No Offer Description Activities: This research investigates the use of artificial intelligence in developing data visualization systems for born-digital collections
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position within a Research Infrastructure? No Offer Description Activities: The post-doctoral fellow will be responsible for: i) Acquisition, processing, and digital classification of satellite and drone
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projects with tangible outputs; programming skills; operation and planning of electric power distribution networks; and database management. Recently graduated PhD holders are preferred. Application Process
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, assembly, adaptation, operation, and optimization of plasma systems and reactors; on the processing of liquid materials and precursor suspensions; on the treatment and processing of materials by thermal
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tissue transcriptomic profile, as well as the inflammatory and metabolic profiles associated with radiopharmaceutical uptake assessed by imaging exams. CancerThera, the Cancer Theranostics Innovation
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staff position within a Research Infrastructure? No Offer Description The general objective of this project based at the State University of Campinas's Faculty of Electrical and Computer Engineering (FEEC
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configurations hinders the creation of generalizable solutions for processing these images. This project proposes an innovative approach that combines state-of-the-art diffusion models with physical radar