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the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. The Red-Horse Lab at Stanford University and HHMI, https://redhorselab.com/ , studies
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environment. n line with our and Uni Basel values (https://www.unibas.ch/en/Research/Values-Ethics/Diversity.html ), we are committed to sustain and promote an inclusive culture, ensure equal opportunities and
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degree in mechanical engineering or a related discipline. Applicants must not have a PhD. Excellent communication and organisational skills Ability to work independently, as well as proven ability to work
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problems (e.g. soft-tissue failures, implant loosening, infection) derive from a top-down, one-size-fits-all approach to implants; CUSTOM plans to invert this approach, based on combining computational
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problems (e.g. soft-tissue failures, implant loosening, infection) derive from a top-down, one-size-fits-all approach to implants; CUSTOM plans to invert this approach, based on combining computational
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mapping of tissues. See https://med.stanford.edu/rabinovitchbland (link is external) and https://www.engreitzlab.org (link is external) for more details about the labs and training environment. Required
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. Collaborate with a dynamic, interdisciplinary team that combines science, sustainability, and technology to create a better future. Help shape the next generation of sustainable materials inspired by nature’s
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/ ) at the Department of Clinical Microbiology, at Umeå University (https:// www.umu.se/en/department-of-clinical-microbiology/ ), the PhD candidate work in the Marie Skłodowska-Curie (MSCA) Doctoral Network GLYCOCALYX
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months preceding the recruitment date. A MSc degree in mechanical engineering or a related discipline. Applicants must not have a PhD. Excellent communication and organisational skills Ability to work
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analysis) 2D / 3D culture and manipulation of human and animal (tumor) cell lines Tumor tissue analysis (ex vivo culture) Your responsibilities will include : Planning and conducting molecular biology