Scientists, get out there!

The BIGMATH kickoff workshop Milano, March 11, 2019   http://itn-bigmath.unimi.it/bigmath-kickoff-workshop/   This is the opening workshop of the MSCA-ITN-EID project BIGMATH, an EU funded international

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I-BiDaaS – Industrial-driven Big Data as a self-service solution

Faculty of Sciences at the University of Novi Sad, Serbia, participates as a project partner in the European Union’s H2020 research and innovation project I-BiDaaS

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BIGMATH: 7 Marie Curie PhD positions available in Milan, Eindhoven, Lisbon, Novi Sad

I am happy to announce that 7 open PhD positions are available in the framework of the Marie Curie EID (European Industrial Doctorate) BIGMATH –

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PhD Vacancy: Applications of Inverse Problems in Smart Manufacturing

One PhD studentship in “Applications of Inverse Problems in Smart Manufacturing”, as part of Science Foundation Ireland’s Research Centre for Smart Manufacturing​ CONFIRM and the Department of

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Irish & EU industry to benefit from Science Foundation Ireland (SFI) investment in Centres for Research Training

Ireland is getting ready to train the next generation of researchers in the area of Data Science and ICT.  The Irish government through Science Foundation

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BIGMATH project funded

We are happy to announce that the MSCA-ITN-EID project BIGMATH – “Big Data challenges for Mathematics” – has been recently funded by the H2020 program.

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Comparison of statistical techniques for the analysis of ”omics” data

This report refers to a project which has been assigned to a group of students in the MSc in Mathematics at Università degli Studi di

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A Markov Chain approach to evaluate the impact of CAP Greening on land use in Lombardy region

A recent reform has redesigned Common Agricultural Policy (CAP) contents over the programming period 2015-2020, introducing important changes in the funding strategies, called “Greening”, which

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Stochastic Modelling of Cold Spray Coatings Microstructure

Modern materials manufacturing has evolved toward a better control and optimization at the microscopic scale. Hence, microstructures commonly exhibit complex morphologies mixing various materials including

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Numerical models and homogenization to study the sensitivity of energetic materials: effect of damage and microstructure

Shock sensitivity is often studied in order to improve the safety of energetic materials (i.e., explosives). Numerous studies have shown that the former is sensitive

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