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Learning, Theoretical Computer Science (Discrete Mathematics, Algorithms, etc.). Experience with EdTech tools, such as Ed Discussion, Gradescope, GitHub Classroom, Canvas, etc. Ability to respond on short
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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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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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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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-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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machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
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to ensure alignment with donor plan. Responsible for comprehensive understanding of HLA donor search algorithms and other non-HLA factors, such as ABO, age and CMV status. Analyze donor searches and apply
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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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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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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