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-) immunoprecipitations from neuronal cell models and brain tissue followed by quantitative LC-MS/MS, and you will run that workflow from end to end – from sample preparation to data analysis and interpretation. Candidate
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? Job description The research programme CO2URAGE, funded by the Dutch funding organisation NWO in the framework of the Perspectief Programme, targets the conversion of intermittent electricity
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11 Jul 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Biological sciences » Biological engineering Biological sciences » Biology Computer science » Modelling
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of repeatedly solving wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim
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robotic platforms, integration of optical and imaging-based feedback, and development of modeling and control strategies for operation in complex biological environments. Particular attention will be given
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. These computational models can provide crucial mechanistic insights into the key parameters governing these processes, inform targeted in vitro experiments, and help design better biomaterials and TE strategies
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you excited about developing new mathematical foundations for energy
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metrology tools is continuously challenged by stricter requirements and increasingly complex geometries. In this project, you will work on the ideation, modeling, and experimental validation of novel
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of average climate measurements, which are then used to control the overall climate setpoints. Awareness of micro-climate insight and fine-grained, model-based control of locally applied ventilation is lacking
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activities will include: o Human Brain Modeling: Generating and maintaining patient-stratified iPSC lines and innovative 3D "brain chimeroid" models. o Advanced Neurophysiology: Assessing functional network