My name is Rongjiao Ji, I am currently a first-year PhD student in the PhD school in Mathematical Sciences, Universita’ degli Studi di Milano (Italy),
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Author: Alessandra Micheletti
The new Data Science Research Center at University of Milan
We are happy to announce the birth of the Data Science Research Center, a new coordinated research center of Università degli Studi di Milano. The
Read moreScientists, 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
Read moreBIGMATH: 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 –
Read moreBIGMATH 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
Read moreWorkshop Mathematics for Big Data: presentations are online
The kickoff workshop of the ECMI SIG “Mathematics for Big Data” took place at University of Novi Sad on May 31 – June 1, 2017.
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Clustering of multivariate Big Data
Clustering is the division of a collection of data into groups, or clusters, such that points in the same cluster have a small distance from
Read moreWorkshop Mathematics for Big Data
Dates: May 31- June 1, 2017 Place: University of Novi Sad, Serbia The availability of huge amounts of data is often considered as the fourth
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