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pharmacologically tractable. The project combines genetic (CRISPR/Cas9) and chemical (small molecule inhibitors, probes) tools to modulate the pathway and study its effects on adipocyte function. A successful
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Join us to decode how genetic variation reprograms brain cells and disrupts their communication using AI Job description We are looking for a PhD student to work at the intersection of machine
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Join us to decode how genetic variation reprograms brain cells and disrupts their communication using AI Job description We are looking for a PhD student to work at the intersection of machine
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Your job Do you have a keen interest in microbial interactions between hosts and parasites? Would you enjoy pursuing PhD combining ecology, molecular biology and genetics? Are you enthusiastic about
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Wageningen University & Research offers excellent terms of employment . A few highlights from our Collective Labour Agreement include: partially paid parental leave; working hours that can be discussed and arranged so that they allow for the best possible work-life balance; the option to accrue...
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and development of new treatments. Yet current models fail to capture diversity across age, sex, and genetic background. Our ERC Starting Grant project, “Diversity Outside In”, aims to change this. We
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Join TU Delft and work together with NXP to build low-power AI accelerators for self-healing analog/RF calibration, fixing noise/offset. Co-design algorithms & hardware and validate on real silicon
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transportation systems may include a fleet autonomous cars, vans, and buses. This PhD position within FlexMobility will focus on the underlaying assignment and routing algorithms for real-time operation of
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within FlexMobility will focus on the underlaying assignment and routing algorithms for real-time operation of the vehicle fleet and the multi-objective design of the mixed transporation network. Our key
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expert knowledge in a reusable format. Numerical Representation, Develop numerical representations of ship designs that are interpretable by machine learning algorithms and suitable for generative ai model