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Python and R; - Demonstrable experience with Machine Learning; - Excellent problem-solving skills and the ability to work both independently and as part of a team. This position is for full-time, on-site
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Science, Computer Engineering, or a related field, completed before the fellowship start date. Candidates should demonstrate experience in at least two of the following areas: compilers, parallel programming
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: Artificial intelligence applied to seismics, neural networks, machine learning, synthetic data generation, seismic inversion, geological CO2 storage. Abstract: This research project aims to develop a synthetic
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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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the analysis and monitoring of detected events within the continuous monitoring of the SIN. The fellow will be based at the State University of Campinas's Faculty of Electrical and Computer Engineering (FEEC
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dissection, and image and illustration editing, as well as experience and availability for fieldwork. Applications should be sent to einicker@usp.br by 15 February 2026, including a motivation letter, one
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. Duration The fellowship is granted for 36 months. 4. Eligibility and Requirements • PhD obtained within the last 4 years or by May 31st; • Background in IR image analysis and experimental phase change
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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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Resources into Bioproducts and Bioenergy.” Required Expertise The candidate must demonstrate proven experience in: - Renewable hydrogen production; - Proficiency in thermochemical modeling and process
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database modeling, creation and implementation of functionalities and interactive interfaces, case study development and analysis, and repository management and documentation of technological processes