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Field
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Do you want to contribute to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics
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fundamental methods research to guide in these analytical challenges. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant
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effective for designing and optimizing applications for reconfigurable/spatial computing architectures (HW/SW co-design)- Extend or build simulation or modeling frameworks to support systematic exploration
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of Internet infrastructure by developing autonomous systems that can self-organize, self-optimize, and self-heal across heterogeneous environments. You will tackle fundamental challenges at the intersection
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computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but
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increasing the attractiveness to the users, we need innovative designs where fixed and flexible services support each other. This necessitates a multidisciplinary approach bringing together optimization
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University! Are you passionate about realizing a
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Netherlands Application Deadline 21 Oct 2025 - 21:59 (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
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We are seeking a highly motivated PhD candidate to join our research team in the field of mixed-signal IC design, focusing on the implementation of physics-based computing paradigm. The ideal
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MSc degree in a relevant field, such as Operations Research, Operations Management, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods