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candidate, you are at the core of the project. You will perform all wet lab analyses using advanced techniques such as cell culture, reporter analyses and RNA-sequencing. You will perform the data analysis
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supported in learning new techniques and broadening your mathematical background. You will have the opportunity to present your work at both national and international conferences and workshops, for which
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, silicon-proven AI/ML accelerator for transmitter error correction (digital predistortion/calibration). Your work will sit at the intersection of machine learning, DSP, and digital IC design, and you will
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You will join the “Professional Learning & Technology” (PLT) section of the Faculty of Behavioural, Management & Social Sciences. The PLT section specializes in research on professional learning in and
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industrial partners across Europe Network-wide training schools and workshops Supervision by leading experts in the field A personalized Career Development Plan Challenge-based learning principles Where
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developing technologies for 6G? To meet the requirements of future mobile networks, network architectures need to become more agile and will include terrestrial and airborne network components linked by radio
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-scale compound drivers. We will leverage machine learning methods to bridge the gap between drivers at coarse model resolutions and impacts captured by high-resolution observations. Job description Arctic
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on AI-supported decision-making that contribute to the empowerment and democratic participation of citizens. The project addresses real-world challenges across domains such as healthcare, mobility
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Erasmus School of History, Culture and Communication (ESHCC). This position is for 1 fte. The salary (living and mobility allowance) ranges from a minimum of € 3.059 to a maximum of € 3.881 gross per month
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genetics projects. Your first project will involve investigating the molecular mechanisms underlying the cell type specificity of Charcot-Marie-Tooth (CMT) disease caused by mutations in tRNA synthetases