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of Sanquin is home to 250 researchers, including over 60 PhD students and 30 postdocs. Research at Sanquin is organized in four strategic themes: Anemia, Bleeding & Hemostasis, Immunity & Inflammation, and
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the optimization of biochar production from different biomass types at different pyrolysis conditions to produce biochar with characteristics tailored for specific applications such as the treatment of road runoff
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, programmability, high linearity and low-noise signal conditioning including optimal dynamic range and bandwidth utilization. This position offers a unique opportunity to drive research at this critical intersection
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of wireless technology and excited to embark in the exciting new world of photonics, we invite you to apply for this PhD opportunity! Information This project aims to innovate detector design to overcome
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may involve topics such as anomaly detection during process execution (e.g., identifying concept drift), simulation of highly variable processes, optimization of variable workflows, and many related
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candidates that are currently in Europe. For PhD 3, experience with Machine Learning and other data-driven optimization workflows and automation experience is a bonus. This is what we offer you A temporary
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networks and developing technologies for 6G? We foresee a future where lasers will light up the sky to enable high-bandwidth and secure communications to every corner of the Earth. This PhD will combine free
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Job related to staff position within a Research Infrastructure? No Offer Description Work Activities This fully funded PhD position lies at the interface between fundamental physics and industrial
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. The ideal candidate holds a PhD in transport, operations research, civil engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in
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researcher will combine thermodynamic modelling, process simulation, and crystallization engineering to enable process optimization and scale-up. The tasks include: Development of thermodynamic models