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As part of the new project Ecce Aqua one fully funded PhD fellowship is available at the University of Padova (Italy) on imaging and big data analytics applied to marine vertebrates (http://www.dottorato.veterinaria.unipd.it/health-aquatic-animals).
We welcome candidates with background in some of the following fields: image analysis, computational microscopy, machine/deep learning, data science and statistics, radiomics.
Closing date: 14-05-2019 13:00
Supervisors and contacts
Enrico Grisan, Department of Information Engineering, email@example.com
Livio Corain, Department of Management and Engineering, firstname.lastname@example.org
Bruno Cozzi, Department of Comparative Biomedicine and Food Science, email@example.com
The overall aim of the project is to develop processing pipelines for the analysis of CT and MRI scans from marine fauna (cetaceans, turtles, fishes) with a specific emphasis on the study cetacean brain. Additional ex-vivo histological data will be available to provide an integrated digital imaging approach to comparative anatomy. The PhD student will be part of a highly multidisciplinary teams composed by computer scientists, engineers, statisticians, biologists and neuroanatomists.
The PhD program is designed as a strongly interdisciplinary research environment that is made up of three overlapping layers: comparative anatomy, imaging and data science for big data analytics. The comparative anatomy of marine mammals represents the main layer at the crossroads between imaging and data analysitics. Imaging and data science play a synergic role in handling big data under multi-faceted circumstances and goals, focusing on 3D/2D reconstruction and interpretation of imaging information. Data science aims at developing innovative inference-based methods to investigate possible (small) effects due to factors such as species, sexual dimorphism, aging and pathology.
The topics that can define the doctoral project are:
o 3D shape reconstruction and registration of multimodal data
o 2D to 3D image registration and visualization
o Artificial intelligence for the segmentation and classification of histological images
Big Data Analytics:
o Web-based apps development and set-up of a tissue digital database
o Multivariate testing and ranking methods
o Parallel programming for efficient randomization algorithms
Candidates must apply online at https://pica.cineca.it/unipd/dottorati35
selecting the PhD position labelled as: Progetto "ECCE AQUA" - Topic: Tissues images analyses by using big data management and evaluation;
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