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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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processes to ecosystem level; use of plant traits to understand ecosystem carbon budgets). Given the nature of the research project, we expect the selected candidate to be able to interact with soil
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aspects of the research process. Current work in the Lab aims to address three questions: (1) What are the core components of beliefs about the prevalence and nature of suffering? (2) How do these beliefs
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machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma
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in. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
significantly enhanced the capabilities of text-to-video (T2V) models [3,4], allowing users to produce richly varied and imaginative scenes from natural language descriptions. These systems demonstrate strong
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
position focused on advancing crop production and physiology through field experimentation, computation (statistics and machine learning), and process-based models. The successful candidate will have an
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 3 months ago
chemistry methods applicable to biomolecular systems, which are then applied to computer-aided drug design. We are looking for a talented postdoctoral fellow to join our team and work on the development
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large language models (LLMs), natural language processing (NLP), and/or machine learning, with a verifiable track record (e.g., publications, thesis, or open-source contributions). Proficiency in Python
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leading machine learning and/or computer vision venues; Excellent programming skills, particularly in Python and PyTorch; Excellent written and oral communication skills in English; The ability to conduct