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Description Multiple sclerosis (MS), is an autoimmune disease of the central nervous system (CNS), characterized by demyelination and neuronal loss, along with immune cell brain infiltration and inflammation
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techniques such as cross-domain alignment, robust representation learning, and embodiment-agnostic architectures. The goal is to create robot learning frameworks that can reliably transfer knowledge across
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of lakes under multiple uses: an economic assessment of environmental costs and benefits and trade-offs for sustainable lake management, with an application to the Pinè Plateau”; n. 1 supernumerary position
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of bacteriophages Genome extraction and molecular cloning DNA sequencing Peptide synthesis, purification and labelling Click-chemistry techniques Bioinformatic analysis of Bacteria/Virus genomes Antimicrobial assays
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nanocrystals/gold nanoparticles hybrids for the precision delivery of antigenic peptides to antigen presenting cells. Project: This PhD project will focus on: 1) Multiple functionalization and characterization