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implementation of processes for advanced treatment of effluent from different wastewater treatment plants under sunlight with the goal of water reuse. Mandatory requirements: PhD in Chemistry, Chemical Engineering
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therapy, in in vitro and in vivo contexts. Mandatory requirements: PhD obtained no more than 7 years ago in the field of Sciences; solid experience in cell culture and experimental assays, including protein
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level or within the Graduate Program. Mandatory requirements i) Applicants must have completed their PhD no more than seven (7) years prior to the application and must present an outstanding academic
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scientific and technological dissemination activities. Mandatory requirements: PhD in Materials Science and Engineering, Mechanical Engineering, Chemical Engineering, or related fields. Preference will be
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. Mandatory requirements: PhD obtained within the last seven years in a field related to the project; availability to start immediately; prior publications related to the project; proven skills in MariaDB
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related to the use of LiDAR data in forest applications, as well as experience with deep learning methods, will be considered an advantage. How to apply: Send CV, statement of interest, and the names of two
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different subtypes; • Spatial transcriptomics. Mandatory requirements PhD in areas related to the project. Desirable requirements Candidates should demonstrate experience in: In vitro and in vivo experimental
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spectrum of artificial intelligence in its various interfaces), the failure of liberal democracies, and the constitution of contemporary subjectivities exiled from themselves. Mandatory requirements - PhD in
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Immunodeficiencies), Faculty of Medicine (FM), University of São Paulo (USP), under the supervision of Prof. Dr. Maria Notomi Sato. Requirements: PhD in Immunology or a related field. Knowledge of virology, cellular
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original research, contributing to project management and to international academic debates on AI and technological governance. Mandatory requirements Applicants must: • Hold a PhD obtained within the last 7