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Field
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We are looking for a highly motivated PhD student to join the Nucleic Acid Immunity Lab at the VIB-UGent Center for Inflammation Research. Lab website: https://www.irc.ugent.be/groups/maelfait-lab
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research projects. In parallel, they participate in the comprehensive BIGS DrugS education programme, which includes workshops, lectures, colloquia and symposia. Mentoring is performed by two experienced
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GPU-capable, parallelized simulation frameworks. Work closely with experts in HPC and power systems to enhance scalability and computational performance. Disseminate your findings through scientific
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efficiency does not deliver the expected sustainability gains due to changes in system behaviour induced by the introduced efficiency measures. At the same time, parallel activities in the ‘smart home’ realm
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to communicate the accomplished / in-process work to internal and external stakeholders and adapt directions where needed. Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/machine
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for the turbomachinery design optimization process conducted by a parallel PhD student at LMFA. The numerical solver involved is ProLB. It is an innovative Computational Fluid Dynamics (CFD) software solution developed
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. These results will inform on the relevant scaling laws to be used within a parallel experimental research activity carried out within the LOCCO project. This provides an unique opportunity to have a
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-insurance subsidy of €100 per month Supplementary €550 mini-job allowance to support parallel part-time employment (optional) Application Details Expected start date: March, 2026 AI for Semantic Structurese
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(synchrotron-based), fluid inclusion analysis (FIA), Raman spectroscopy, ICP-MS, and isotope geochemistry. The results of this work, combined with those of parallel studies carried out within the GEOTHERBAMINE
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printing processes. In parallel, they will fabricate sensors for humidity detection and visible light response using flexography and screen printing techniques, ensuring their proper characterization