5 fully funded PhD scholarships at HT through the SEMM
05 August 2024
5 fully funded PhD scholarships at HT through the SEMM
Human Technopole is offering up to 5 fully funded PhD scholarships to young scientists from the national and international community who wish to undertake a doctoral degree on a project focused on Computational Biology, Structural Biology or Biophysical modelling.
We encourage applications from highly motivated graduates with outstanding academic qualifications. Successful candidates will join research groups headed by top-level scientists and will carry out their research in cutting-edge fields in a stimulating environment.
An international collaboration between Human Technopole, Fudan University, the University of Edinburgh, and the SCALLOP Consortium identified hundreds of proteins in human plasma related to human behavioural traits and neuropsychiatric disorders. These proteins are potential targets for drug repurposing and novel therapeutic interventions for mental disorders. The findings are published in Nature Human Behaviour.
Using diverse omics approaches and multiscale disease modelling, Human Technopole researchers uncovered the effects of 7q11.23 CNV, a section of chromosome 7 on neuronal differentiation, gene expression, protein synthesis, and intrinsic neuronal excitability in two neurodevelopmental disorders (i.e., Williams-Beuren and 7q microduplication syndromes). The research results are published in The Journal of Clinical Investigation.
Engineering a parasite, Toxoplasma gondii, which is naturally suited to cross the blood-brain barrier and enter neuronal cells, so that it can deliver therapeutic proteins to the central nervous system: this is the result of a study by an international group of scientists, including researchers from the University of Milan and Human Technopole, recently published in Nature Microbiology.
The Glastonbury Group is among the recipients of the Data Insights Cycle 3 awards. The aim of the grant is to develop a machine learning model that identifies disease-relevant cell subpopulations whilst predicting a phenotype/disease of interest from large-scale single-cell RNA-seq data.
In collaboration with an international team of scientists, HT researchers identified a missense mutation in a gene involved in brain-intrinsic immunity as the genetic cause of SARS-CoV-2 brainstem encephalitis.
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