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phage activation rate, will be described explicitly and left free to evolve in the model. This project runs parallel to and in close collaboration with experimental evolution studies of host-phage
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systems. To harness its potential, this research emphasises the use of field-programmable gate arrays (FPGAs) as a core hardware platform – enabling real-time, parallel, and low-latency processing. FPGAs
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curricula and often embedded as a module in a program course. We train and assess students in small groups which means we run many parallel groups to which different teachers and student tutors are assigned
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Deadline 15 Feb 2025 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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hub. Responsibilities: Strategic Leadership: Design cutting-edge AI R&D programs and solutions, meeting milestones, and achieving defined success metrics. Team Building: Lead a team of AI scientists
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research on the design, programming and run-time management of parallel and distributed computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as
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Application Deadline 6 Mar 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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Engineering (FSE) contributes to this mission by training skilled professionals through our new EngD programme in Sustainable Process Design. This 2-year post-master design programme, closely collaborating with
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new EngD programme in Sustainable Process Design. This 2-year post-master design programme, closely collaborating with local companies, focuses on the direct needs of the industry. The Engineering and
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parallel programming knowledge and experience. Basic understanding of deep learning methods is a plus You are proficient in English. Additional Information Benefits As a PhD student at UT, you will be