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optimization in distributed systems. The work also involves modern compiler infrastructures, with emphasis on MLIR, and contributions to LLVM and the OpenMP standard. Applicants must hold a PhD in Computer
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position within a Research Infrastructure? No Offer Description Activities: The post-doctoral fellow will be responsible for: i) Acquisition, processing, and digital classification of satellite and drone
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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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potential in preclinical experimental models. Requirements: Applicants must have obtained their PhD within the last five years and have experience in the study of non-conventional lymphocyte populations, as
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/axonopathies.” Prerequisites: • PhD degree in Biological Sciences or Health Sciences; • Experience in techniques such as Histology, Molecular and Cell Biology, Immunohistochemistry, miRNA and RNAseq analysis
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techniques for the development of wearable devices capable of detecting plant health markers and analytes of agricultural interest. Candidates must hold a PhD degree in Chemistry, Materials Science, or related
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describing their progress and activities. Mandatory requirements Candidates must hold a PhD in Mathematics Education or a closely related field by the start of the fellowship. How to apply Applicants must
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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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-concentration purposes). Analytical platforms will be applied in environmental and food analysis, among other applications. Mandatory requirements: PhD in Sciences (areas: Analytical Chemistry or Materials
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness