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knowledge of AP style. 8. SEO and keyword research experience. 9. Knowledge of ranking factors and algorithms. 10. Leadership and consensus-building ability. 11. Strong analytical and marketing analytics
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problems and have published research in this field. You possess excellent knowledge of constraint programming and evolutionary algorithms for scheduling. A high level of motivation and commitment
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programming and evolutionary algorithms for scheduling. A high level of motivation and commitment to successfully completing your doctoral studies within the planned timeframe. Cooperative, team-oriented, and
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will involve developing deployable prototypes, efficient big data algorithms, and publishing in top-tier venues in databases, machine learning, and data mining. Key responsibilities will include
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upon existing literature You will then conceive, propose, and deliver innovative bespoke solutions to these research challenges. Examples of such solutions might include: Machine learning algorithms
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. JOB LOCATION AND SCHEDULE: CITIC/Faculty Informatics of UDC. Monday to Friday 9-14h and 15:30-17:30h ACTIVITIES The candidate selected in this call will carry out research collaboration tasks in
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policies, and equipment use. Maintain a safe, welcoming, and professional laboratory environment while working collaboratively with diverse audiences. Assist with lab scheduling and the resolution of day-to
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 2 months ago
can be obtained at: https://www.dges.gov.pt/pt/pagina/reconhecimento?plid=374 . Work plan and objectives to be achieved: flexREC aims to develop multiobjective algorithms to manage the charging
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and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries
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Programs and team. • Apply algorithms and timetabling tools to optimize instructor-course assignments in alignment with school needs. • Assist with data collection and management to inform course assignment