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/find-staff/olarolfson Project website: www.shield-dn.eu/en This PhD position is part of the European Doctoral Network “SHIELD” (Strategies for Healing Implant-associated infections and Enhancing
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description This project is part of the EU-funded “Print4Life” Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader at Uppsala University. This network has 8 doctoral candidate host
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biomedicine. Read more about the Department here Project description This project is part of the EU-funded Print4Life , a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader
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-equipped laboratory facilities for research and an excellent inter-disciplinary academic network in Sweden and abroad. Subject description Machine learning focuses on computational methods by which computer
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facilities and advanced flow cytometry readouts. The production of substances for use in the biological read-outs will be performed by the network collaborators. Secondments This project is carried out in
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around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on
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EU-MSCA PhD position: Molecularly imprinted polymers for phosphopeptide assays of oncogenic pathways
and characterised with respect to binding affinity at both peptide and protein level and compared with traditional antibody based detection. Ultimately MIP-MS multiplex assays will be developed and
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to escape detection. This is the case of labile N-phosphorylations and methylations. This project will leverage state of the art molecular imprinting techniques to develop refined polymer binders (porous
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receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available
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, international research community and network. This project aims to develop skills for an autonomous mobile robot to perform complex manipulation tasks. Our goal is to enable continuous learning, allowing