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enrichment techniques combined with MS/MS methods and data analysis have revealed a large extent of PTMs in proteins a lack of efficient affinity-based enrichment techniques causes several of the modifications
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for selective sorption of lanthanides from complex waste mixtures using advanced materials. This research will be a part of a collaboration between several research groups working within the EU project MaLaR
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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EU-MSCA PhD position: Molecularly imprinted polymers for phosphopeptide assays of oncogenic pathways
Good knowledge and interest in chemistry laboratory research Experience in organic chemistry such as synthesis, purification and analysis Interest in and ability to learn new techniques Ability to work
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in vitro tissue models ideally need to account for the complexity of ECM composition, extracellular and intracellular forces, and reproduce specific microenvironmental conditions. This doctoral project
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divisome protein complexes. Prokaryotic cytoskeleton proteins offer a fantastic and unexplored world of protein polymer assemblies with diverse similarities and evolutionary aspects comparable
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dynamic properties. We study the filamentous bacterium family of Streptomyces, the in vitro assembly of cytoskeleton proteins and the cellular localization polarisome and divisome protein complexes
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molecular simulations. Previous hands-on experience in more than one of the following methods is considered an advantage: molecular simulations, Python programming, machine learning, or quantitative analysis
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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motivated individual to pursue a PhD in the area of reliable conversational domain-specific data exploration and analysis. The prospect PhD student will join a research team in KTH led by Professor Aristides