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will be conducted both as part of continuous measurements at ATTO and field campaigns. The main objective of this postdoc project is to characterize and quantify the new particle formation in the early
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graduate students affiliated with the Thematic Project; v. Participation in research networks and in scientific events, both national and international; vi. Offering at least one course at the undergraduate
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techniques—particularly convolutional neural networks (CNNs)—will be applied to identify complex canopy patterns and classify successional stages. Mandatory requirements: Ph.D. in Remote Sensing, Forest
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addition to supporting field and laboratory activities. They will integrate Net Primary Production (NPP) and the Gross Primary Production (GPP) data to construct a reference carbon budget and assess initial responses
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of the email should be “PostDoc CBD photometry”. Applicants should be close to completing their PhD or have obtained their doctoral degree within the last seven years. Shortlisted candidates will be
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journals; - Participate in the life of the Center, contributing to scientific meetings; - Develop collaborations within the CBG network; - Offer short courses or minicourses; - Interact with graduate
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reputable international journals; - Participate in the life of the Center, contributing to scientific meetings; - Develop collaborations within the CBG network; - Offer short courses or minicourses
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Established Researcher (R3) Positions Postdoc Positions Application Deadline 3 Apr 2026 - 23:59 (America/Sao_Paulo) Country Brazil Type of Contract Temporary Job Status Full-time Hours Per Week 40h Offer
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staff position within a Research Infrastructure? No Offer Description Title: “Synthetic Dataset Generation Technique to Optimize Neural Network Training for Seismic Data Prediction” Research Area
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staff position within a Research Infrastructure? No Offer Description This research project aims to develop a synthetic dataset generation technique to optimize the training of neural networks (NNs