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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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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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simulation (Aspen Plus®); - Experimental experience in reaction systems and process intensification; - Ability to integrate modeling, experimental validation, and techno-economic analysis; - Experience in
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presentations. The topics of the selection process (“concurso”) are as follows: 1. Protein structure and function 2. Enzymes 3. Biological Membranes and Transport 4. Carbohydrate and lipid metabolism 5. Protein
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rare genetic variants associated with mental disorders. The selection process includes two stages: the 1st phase (eliminatory) consists of evaluation of academic transcripts, Curriculum Vitae or Lattes
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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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to staff position within a Research Infrastructure? No Offer Description The CCARBON Atmosphere module is dedicated to developing and applying process-based models for major Brazilian agricultural
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in engineering or a field related to the project; • Knowledge and proven expertise in computational optimization methods and discrete-event simulation, with experience in regular service design
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Date: April 2026. Application Process: Applications must be submitted between January 25 and February 10, 2026, to the email pereira.filho@unifesp.br with the subject line “PD Application”. Required
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numerical simulations will also be required to evaluate them. The scientific results will be published as articles in proceedings of high-level international conferences (IEEE Globecom, ICC, SPAWC, etc.) and