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cutting edge techniques including super-resolution imaging, condensate biology and CryoET. Key Responsibilities Your primary task will be to lead a project on quantitative cell biology of cell interfaces
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staff trainings and development projects based on your interests and needs. We work in a hybrid way, and the primary workplace is Otaniemi, Espoo. The Otaniemi campus is a thriving and connected community
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Assistant: A first/masters degree (or equivalent) high performance computing, computational fluid dynamics, or a closely related discipline. *Candidates who have not yet been officially awarded their PhD will
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brilliance it delivers. We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original
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related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals
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interact, and perspectives intersect, truly original thought takes form. Benefits We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed
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of the Principal Investigators (PIs) and other collaborators of the project. Further, the Researcher will work closely with colleagues who will mainly work on computational sides of MAPs that have particularly
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immunohistochemistry, along with experience in fluorescent microscopy, image capture and Adobe photoshop are also essential. Main duties and responsibilities Carry out research/experiments. The main duty is to perform
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research, generating original ideas based on outcomes; Facilitating the organization, logistics and recruitment for two in-person consumer-focused day-long workshops (locations TBC). Liaising with consumer
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for 1 year with a possible extension. Reporting to the Principal Investigator, you will help ensure a healthy and vibrant research environment within the VGG. This will involve conducting research in deep