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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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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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state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); applying them to solve real-world problems (e.g., gradient estimation
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state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); applying them to solve real-world problems (e.g., gradient estimation
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state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); applying them to solve real-world problems (e.g., gradient estimation
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state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); applying them to solve real-world problems (e.g., gradient estimation
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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
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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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automated parallel peptide synthesis and purification systems, we will create libraries of short peptides and their derivatives. Special attention will be given to exploring N-mono- and N-bis-functionalized
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bio-based detergents to advanced biomaterials. Leveraging automated parallel peptide synthesis and purification systems, we will create libraries of short peptides and their derivatives. Special