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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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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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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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involve developing an approach that uses Knowledge Organization (KO) metadata and ontologies to optimize parallel processing and scheduling policies (via Kubernetes) for Machine Learning tasks. The fellow
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-industrial residues from Brazil and Chile. The candidate must hold a PhD in Biotechnology, Pharmacy, Food/Chemical/Bioprocess Engineering, or related fields. Proven expertise is expected in chromatographic
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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
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fundamental radar wave propagation equations into the diffusion process, allowing for more accurate and physically consistent image restoration. The developed framework will be able to transfer knowledge
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expenses Duration: 36 months, with the possibility of an international exchange period Workload: Full-time (40 hours per week) Expected start date: April 2026 Requirements: • PhD in Chemical Engineering
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to staff position within a Research Infrastructure? No Offer Description What we are mainly looking for (selection criteria can be found in the position description) • PhD in aquaculture, environmental
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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