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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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to staff position within a Research Infrastructure? No Offer Description What we are mainly looking for (selection criteria can be found in the position description) • PhD in aquaculture, environmental
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Educational background and field of knowledge: Agricultural Engineering/Agronomy or related fields, with a focus on Plant Pathology. Specific Requirements The candidate must hold a PhD degree with a thesis
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, Pharmacy, or related fields; • PhD in Medicine, Sciences, Psychobiology, or related areas; • Strong background in Physiology, Reproduction, and/or Microbiology; • Experience in clinical and preclinical
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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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. 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
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essential for patient care and direct communication. Requirements: - Bachelor's degree in a Life Sciences field and PhD defended within the last seven years in Molecular Biology or Medical Physiopathology
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. The University of São Paulo's School of Arts, Sciences and Humanities (EACH-USP) is CIATec's host institution. Requirements: PhD completed less than 7 years ago in Education or related areas; experience in
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(tax-free); relocation support included (research contingency fund, equivalent to 10% of the annual value of the fellowship). Qualifications: PhD in Physics/Astronomy (or related); experience with
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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