PhD projects for Complex Chemistry (C2)
This is the list of projects that can be assigned to an awardee of a fixed theme scholarship MUR-Dipartimento di Eccellenza 2023 project Complex Chemistry (C2). All the projects require to spend at least 3 months abroad.
Harnessing Chemically Fueled Regenerative Chemiluminescence (CFRCL) for Advanced Bioanalytical Applications: The ReLISA Project (Proponent: A. ALIPRANDI; Co-Proponent: A. ZANUT)
Molecular strategies for steering the selectivity of heterogeneous CO₂ electroreduction (Proponent: S. ANTONELLO; Co-Proponent: M. BARON)
Complex Copolymer Compositions for Non-Immunogenic Alternatives to Poly(ethylene glycol)s (Proponent: E.M. BENETTI; Co-Proponent: F. MANCIN)
Electrochemically aided, gold promoted chemical transformations (ELECTROGOLD) (Proponent: A. BIFFIS; Co-Proponent: S. BONACCHI)
Identifying the molecular requirements for effective photoprotective mechanisms in light-harvesting complexes (Proponent: D. CARBONERA; Co-Proponent: A. MIGLIORE)
Engineering the Interplay Between Hybrid Polyoxometalates and Proteins for Conformational Studies and Targeted Therapeutic Applications (Proponent: M. CARRARO; Co-Proponent: G. GIACHIN)
Synthesis, processing, and implementation of water-dispersible multi- and sin-gle walled carbon nanotubes for electronic devices (Proponent: M. CASALINI; Co-Proponent: E. MENNA)
Synergistic Integration of Photochemical and Electrochemical Processes in Catalysis (Proponent: M. FANTIN; Co-Proponent: A. SARTOREL)
Emergence of Macroscopic Nonequilibrium Effects from the Molecular Scale (Proponent: C. FERRARINI; Co-Proponent: S. PAUL)
Non-equilibrium responsive systems for nanostructured devices (Proponent: L. GABRIELLI; Co-Proponent: L. LITTI)
Development and characterization of a plasma‐based process for the degradation of perfluoroalkyl substances in water (Proponent: E. MAROTTA; Co-Proponent: L. CAPPELLIN)
Enhanced selectivity in molecular recognition under non-equilibrium conditions (Proponent: L. J. PRINS; Co-Proponent: D. FREZZATO)
Exploring unknowns in omics by Artificial Intelligence and Mass Spectrometry (Proponent: M. ROVERSO; Co-Proponent: L. ORIAN)
Data-Driven Design of Metal-Based immunogenic Cell Death Inducers (Proponent: T. SCATTOLIN; Co-Proponent: R. BATTISTUTTA)
Network Reactivity Dictated by Confined Size Selectivity (CONFINET) (Proponent: C. ZONTA; Co-Proponent: A. A. ISSE)