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high-dimensional flow cytometry (using CyTek Aurora) and single-cell transcriptional profiling (using 10x Genomics) Excellent communication skills and a passion for learning new assays and analysis
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understanding of infertility and placenta-related complications of pregnancy. Applicants must hold a PhD in cell, developmental or reproductive biology. Experience in human embryology and cell biology methods
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic
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is led by Professor Mauro Giacca and comprises over 65 clinical and non-clinical academic groups, hosting 400 personnel and 110 PhD students. Our community of world-renowned researchers and educators
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the Department of Computer Science at Aalto University in Finland. You will be joining a larger group of researchers working on similar topics. The department has a strong community on related topics: research
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), with two cross-cutting Themes (Basic and Clinical). The School is led by Professor Mauro Giacca and comprises over 65 clinical and non-clinical academic groups, hosting 400 personnel and 110 PhD students
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that the microbiome may play in providing stress resilience. Applicants must be highly motivated, with a PhD in plant biology or a related area. PhD students about to submit their thesis in a relevant area will be
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of the academic community. The appointment will be made as Senior Research Officer and the rest of this campaign and associated paperwork will refer to the position by this title. Duties of the Role You will work
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Putts; and inflammatory genetics. The successful candidate will support other researchers and MSc/PhD students. They will develop novel scientific questions and lead on the analysis of specific aspects
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You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in a relevant subject (molecular microbiology, cell biology