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computing, networked systems, and beyond. The work will range from theoretical and algorithmic development of distributed protocols and coordination mechanisms, through the design and implementation
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5 years research experience in hydrological/agroecosystem modeling. Knowledge, Skills and Abilities Required: Knowledge of agroecosystem modeling, optimization algorithms, and high-performance
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, genetic information, veteran status, marital status, and/or political affiliation. See: http://www.unl.edu/equity/notice-nondiscrimination Minimum Required Qualifications: Master's degree in Artificial
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communication skills, and a keen interest in conducting impactful research. For details on how to apply, please see here: https://www.centre-ub.org/studentships/application-process/ Interviews for this studentship
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software architecture. Drive research and development of algorithms for natural language understanding, structured command generation, and domain-specific model adaptation or fine-tuning. Integrate NLP and
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and paleosols 3) train and test deep learning algorithms. You will be required to take responsibility for all the steps involved in the “Phytolith analysis” work package of DEMODRIVERS. This will
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-based reconstruction algorithms and image analysis pipelines. These approaches will provide highly efficient high-dimensional MRI image acquisition and reconstruction. We seek an enthusiastic and
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social platforms, algorithms, and audience behaviour. Creative flair and cultural awareness — you know what makes content shareable and conversations meaningful. Skills in analytics and reporting
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Your Job: Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep
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these autonomy and self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed