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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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Documentation: 1. Cover Letter (Letter of motivation); 2. Copy of PhD Thesis; 3. Updated Curriculum Lattes (or CV for international candidates); 4. Contact information for up to three references
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with a PhD in Biology, Ecology, Geosciences, Earth System Science, Environmental Sciences, or related fields and proven experience in computational modeling of vegetation to conduct research
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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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Claro and travel to Cavalcante (fieldwork); • Consistent scientific output; • PhD completed within the last 7 years. Interested candidates should complete the Google form (https://forms.gle
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of this research is to develop improved methods for updating simulation models for decision-making, through integrated knowledge of reservoir engineering and geology. The fellow will work within the scope
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of computational tools to understand the immunological mechanisms that drive inflammation. We are looking for candidates who obtained their PhD within the last 7 years in bioinformatics, computational biology
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of photoelectrochemical performance. Requirements: PhD in Physics, Chemistry, Materials Engineering, or related fields; experience in semiconductor characterization and electrochemical measurements; proficiency in English
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qualifications: a) PhD degree completed in Nutrition, Food Science, or a related field; b) Proven experience with Eye-Tracking studies, including proficiency with the Experiment Builder software. This experience
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. Create predictive algorithms for the occurrence of cyanobacteria blooms; 3. Support field activities, process large volumes of data, and contribute to scientific publications. Requirements: • PhD in areas