Sul sito dell'Università Statale di Milano è disponibile un bando per l'attribuzione di un assegno di ricerca di tipo B per 20 mesi.

SEDE:  Dipartimento di Scienze Cliniche e di Comunità.

Argomento: nell'ambito del progetto "INDACO: Incorporating Nonadditivity and nonlinearity within the Dietary patterns And Cancer risk association: statistics and machine learning to create novel research Opportunities from dietary assessment to cancer prediction". Il ricercatore lavorerà nello sviluppo e applicazione di metodi statistici e di machine learning in un contesto di high dimensional data, con particolare attenzione all'epidemiologia nutrizionale.

Scadenza:  April 4, 2024 11.59 pm (GMT+1)

Responsabile: Prof.ssa Valeria Edefonti ( valeria.edefonti@unimi.it  )

Per il Link al bando e per saperne di più clicca qui
                

Company Information

The Branch of Medical Statistics, Biometry, and Epidemiology at the University of Milan, Milan, Italy, is committed to academic excellence and diversity within the faculty, staff, and student body. With mathematically rigorous and computationally enabled MS and PhD programs in Data Science for Economics and Public Health, as well as being integrated in a collaborative network with world class research departments within five university-based hospitals in Milan, the University of Milan is an ideal location for methodological and collaborative research in biostatistics.

Duties and Responsibilities

The research fellow will work on the development and application of statistical and machine learning methods for high dimensional data, with emphasis on nutritional epidemiology, within the “INDACO: Incorporating Nonadditivity and nonlinearity within the Dietary patterns And Cancer risk association: statistics and machine learning to create novel research Opportunities from dietary assessment to cancer prediction” project.

Methodological areas include machine learning algorithms, regression with high dimensional covariates, empirical Bayes methods, factor and cluster analysis, and nonparametric Bayesian methods. Scientific areas include epidemiology, especially nutritional epidemiology, and pharmacology.

Position Qualifications

A Master level degree in informatics, biostatistics, medical statistics, statistics, mathematics, data science, or epidemiology is mandatory. A Ph.D. in the same fields is appreciated. Additional qualifications are programming experience in R / Python / Matlab, as well as excellent written and oral communication skills.