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                Employer- Delft University of Technology (TU Delft)
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                Vacancies PhD position on Sustainable Mobile Networks Key takeaways Mobile networks, as a key component of digital connectivity and computing infrastructures, play a crucial role in modern life 
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                in Bangladesh? Are you a motivated researcher in environmental engineering with a focus on WASH? And, are you fluent in Bengali? Then this PhD position as part of the interdisciplinary FLASH project 
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                learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts. For example, we would like to be able 
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                , the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to 
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                ://www.academictransfer.com/en/jobs/355816/phd-position-in-quantum-compila… Requirements Additional Information Website for additional job details https://www.academictransfer.com/355816/ Work Location(s) Number of offers 
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                theory, discrete optimization and machine learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts 
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                PhD candidate, you will collaborate with experienced researchers, attend conferences, and experience an international research environment. The position will focus on research and personal development 
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                Job description The TU Delft’s Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS), invites applications for a fully funded PhD position. This exciting project aims 
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                group, at TU Delft to pioneer self-organizing edge infrastructure that will define the next generation of Internet architecture. This PhD position offers you the opportunity to shape the future 
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                and presented at international AI, software engineering, and security venues. The position is focused on discovering new errors using behavioral models learned from software. You will extend fuzzing