We need to boost the visibility of ECLT in order to increment the success rate for presented projects. This can be tracked by affiliation. Please use quote the ECLT affiliation as follows:

European Centre for Living Technology (ECLT)
Ca’ Bottacin, Dorsoduro 3911, Calle Crosera

30123 Venice, Italy


ECLT has recently moved its laboratory at the new scientific campus seat in Mestre (Venice). The Laboratory has been realized with the support of the bank foundation “Fondazione di Venezia” and it is now at the disposal of students, researchers, professors of ECLT and Ca' Foscari University of Venice.

The “LivingTech Lab” is equipped with cutting-edge high-throughput screening equipment to allow the investigation of complex biological systems.

The initial equipment covers the following areas:

  • Molecular biology: PCR, multi-label imaging system, 1D and 2D-electrophoresis system.

  • Protein biochemistry: Low to middle scale expression and purification of recombinant proteins. Protein-protein and protein-DNA interaction. Enzyme characterization by polarised fluorescence, fast kinetic spectroscopy.

  • High-throughput screening: 4-channels liquid handling robot equipped with a broad range of devices for microplate-based (from 96 to 1536-wells) biological and biochemical assays (Absorbance, glow and flash chemio- luminescence, bottom- top fluorescence, time-resolved fluorescence, polarised fluorescence for enzyme screening).

  • Biological sample storage system: equipped with linear bar coding and sample tracking system.

  • Analytical chemistry: High-throughput HPLC and FPLC coupled with UV-Vis spectrometer and fluorimeter.


Call for applications to shortlist researchers authorised to submit collaborative proposals

Deadline: 04/12/2020 12:00 p.m

Call for n. 1 Research Fellowship

Title: Countering evasion attacks in adversarial machine learning
Scientific coordinator and tutor: Prof. Marcello Pelillo
Co-tutor: Dott. Sebastiano Vascon
Duration: 12 months 
Deadline: 14 December 2020, 12 p.m. 

Call for applications: selection procedure for specific project 

Title: Computational procedures to optimize individualized treatment strategies in the context of precise medicine
Scientific disciplinary sector: SECS - S/01, MAT/04, INF/01
Tutor: Dott. Claudio Silvestri
Tutor of the project: Prof.ssa Irene Poli
Duration: 12 months
Deadline: 30 November 2020, 12:00 p.m