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Physics informed machine learning for biological behavior @ MaLGa
ORCID iD iconhttps://malga.unige.it/research/pimlb

ORCID Profile:
ORCID iD iconhttps://orcid.org/0000-0001-5633-8180

Scholar Profile:
ORCID iD iconhttps://scholar.google.com/citations?user=OKTmpMQAAAAJ&hl=en

Agnese Seminara

Figura 1

Full Professor of Fluid Dynamics

Dept. of Civil, Chemical and Environmental Engineering (DICCA)
Via Montallegro 1, 16145

Tel: +39 010 335 2434
Tweet @AgneseSeminara
agnese dot seminara at unige dot it

We are hiring ! We seek to grow into a diverse and collaborative group of motivated, creative students and postdocs. We work on a variety of problems in biological behavior modeled through the lens of fluid dynamics and machine learning. Theorists, numericists, and experimentalists all welcome!
--> Apply here and let Agnese know you applied
--> Flyer open positions ERC


May 2022:

Nicola is defending his PhD !

December 2020:

Agnese was awarded an ERC Consolidator !
Abstract and facts about RIDING: Physics informed algorithms for sensing and navigating turbulent environments

DICCA - Dipartimento di Ingegneria Civile, Chimica e Ambientale
Via Montallegro, 1 - 16145 Genova
fax +39 010 335.25.46
Partita IVA 00754150100