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; - Interact with graduate students through informal mentoring, reading groups, or supervision-related activities, under the coordination of the faculty supervisor; - Submit a formal annual scientific report
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students through informal mentoring, reading groups, or supervision-related activities, under the coordination of the faculty supervisor; - Submit a formal annual scientific report describing their progress
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; - Experience with data processing techniques. Desirable knowledge of methods such as Neighborhood Components Analysis (NCA), Locally Linear Embedding (LLE), and t-distributed Stochastic Neighbor Embedding (t-SNE
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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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. 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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, including the use of resources such as audio description, tactile materials, and assistive technologies. Mandatory requirements: Applicants must have completed their PhD within the last seven years and be
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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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control associated with the crop. Disease management methods include plant breeding through conventional genetic improvement or marker-assisted selection, in addition to other approaches commonly applied in