lack of knowledge on how EVs behave in biological environments and how their therapeutic cargo affects the metastasis targeting moieties present on their membranes. Seven believes that the lack of attention on the unknown biomolecular corona (BC) and on its role governing the EVs’ biological identity may well be behind such uncertainties. Understanding EVs’ BC formation will improve the rational EV-inspired nano-therapy design. SEVEN has been designed to generate substantial understating of the NPs-loaded therapeutic EVs behavior, the BC identity and its surface topography to generate new vectors with a much improved accumulation in metastasis target tissues. SEVEN will validate BC’s influence in the EVs metastasis targeting properties in a conceptually and operational ground-breaking experimental design to modify the BC’s surfactome composition for tailoring their therapeutic action.
Main tasks:
- Analysis of proteomics in NPs and EVs surface: mass spectrometry data generation and protein identification and quantification.
- Bioinformatics: differential expression analysis of molecules and modelling of the soft and hard components of the corona.
- Artificial intelligence application in NPs and EVs surfactome analysis.
Where to apply
Website: https://sede.unizar.es/?app=touz&opcion=mostrar&id=77907
Requirements
Research Field: Technology » Biotechnology
Education Level: PhD or equivalent
Research Field: Biological sciences » Biology
Education Level: PhD or equivalent
Research Field: Chemistry » Biochemistry
Education Level: PhD or equivalent
Skills/Qualifications
Qualifications/Skills
- PhD in Biotechnology, Bioinformatics, Nanotechnology.
- Expertise in proteomics, bioinformatic and artificial intelligence.
- Good English communication skills
Additional Information
Selection process
Scoring Criteria:
Section 1: Curriculum Vitae ................................................................................ up to 40 points
- Academic record.
- Research experience: Publications, patents, conference papers/communications, and stays abroad related to the activities to be carried out.
- Other valuable experience provided, other activities demonstrating initiative and leadership, languages, and IT/computer skills.
Section 2: ............................................................................................................ up to 50 points
- Experience related to bioinformatics (differential expression models), software proficiency, artificial intelligence, proteomic data processing, machine learning, deep learning, algorithms, statistical model application, and programming.
- Simulation models.
Section 3: ............................................................................................................ up to 10 points
- Laboratory experience with proteomic sample preparation, cell culture, and protein corona. Experience in nanomedicine.
In accordance with section 2.3 of the Equality Plan of the University of Zaragoza, approved by the Governing Council Agreement of February 23, 2016, a maximum of 1.5 points out of 100 will be added to the total score awarded in the evaluation of merits for candidates who have taken pregnancy-related leave or maternity/paternity leave in the three years prior to the call.
Interview: Option to conduct an interview, if agreed upon by the committee.
Work Location(s)
Number of offers available: 1
Company/Institute: Instituto Universitario de Investigación Mixto de Nanociencia y Materiales de Aragón, Instituto de Investigación Sanitaria de Aragón (IISA) y Hospital Miguel Servet Paseo Isabel la Católica, 1. Zaragoza.
Country: Spain
Contact
City: Zaragoza
Website: http://www.unizar.es
Street: c/ Pedro Cerbuna 12
Postal Code: 50009
