[Jobinfo] Fwd: Open positions at TUDelft - PhD and PostDoc - Visual Analysis in Population Imaging Research (VAnPIRe)


Thu Sep 26 10:02:10 CEST 2013




-------- Original Message --------
Subject: 	Open positions at TUDelft - PhD and PostDoc - Visual Analysis 
in Population Imaging Research (VAnPIRe)
Date: 	Wed, 25 Sep 2013 09:53:56 +0200
From: 	Rafael Bidarra <R.Bidarra@TUDELFT.NL>
Reply-To: 	R.Bidarra@tudelft.nl
Organization: 	Delft University of Technology
To: 	IEEEVRLIST@LISTSERV.UNCC.EDU



*PhD and PostDoc - Visual Analysis in Population Imaging Research 
(VAnPIRe) *

The PhD/PostDoc position will be part of the Population Imaging Genetics 
project 
(http://www.tudelft.nl/en/current/nieuwsartikelen/stw-perspectief-topsectoren/stw-imagene/) 
that involves linking observations on the human genome to observations 
in imaging data. Novel, genome-wide sequencing approaches combined with 
large-scale population imaging studies open up unprecedented 
possibilities for discovering the cause of a disease and relating it to 
its anatomical and functional consequences.
The exact nature of the features (markers) that have the highest 
correlation with the clinical outcomes under study is by definition hard 
to predict. Due to the magnitude and heterogeneity of the data, as well 
as the nonspecific nature of the features that are being sought, this is 
a complex and laborious process.
We envision a new class of visual analysis techniques that enable the 
structured and interactive visual exploration of population imaging 
data. With these techniques, patterns and high-potential hypotheses can 
be flexibly derived from population imaging data, aiding both the 
derivation of insight and the search for predictive data features.
The main aim of this project is to develop and evaluate a new, 
interactive visual analysis approach that enables the extraction of 
patterns and high-potential hypotheses from the irregular and complex 
population imaging research data.
New insights into the mechanisms behind the clinical outcome of a 
population can be extracted by augmenting the human visual system with 
interactive visualization and coupled feature extraction techniques.

Apply through the official pages:

PhD: 
http://recruitment2.tudelft.nl/vacatures/index.php?lang=en&id=528599&type=w

PostDoc: 
http://recruitment2.tudelft.nl/vacatures/index.php?lang=en&id=528598&type=w




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