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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
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topics associated with infrared physics, such as celestial holography and related subjects. Applicants should hold a PhD in Physics and have a strong background in scattering amplitudes in gauge theories
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potential use of the Tietê–Paraná Waterway. 3) Solving problems associated with the definition of regular navigation services. 4) Modeling and solving the lock transit scheduling problem. Requirements: • PhD
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). Candidates must meet the following requirements: - PhD in Computer Science; - Experience in research on the use of AI to recommend code refactoring opportunities; - Experience with data analysis and data
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of the email should be “PostDoc CBD photometry”. Applicants should be close to completing their PhD or have obtained their doctoral degree within the last seven years. Shortlisted candidates will be
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projects with tangible outputs; programming skills; operation and planning of electric power distribution networks; and database management. Recently graduated PhD holders are preferred. Application Process