荷兰代尔夫特理工大学招聘计算机成像分析方向博士后

2014年09月30日

来源：知识人网整理

摘要：

The post-doc will be part of the Population Imaging Genetics project 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 post-doc 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 visualisation and coupled feature extraction techniques.

Description

We are looking for a candidate who meets the following requirements: • You are a talented and enthusiastic researcher. • You have experience with or a strong background in (medical) visualisation, computer graphics, pattern recognition and image processing. • You have a PhD in visualisation and you have completed a Master degree in Computer Science, (Applied) Mathematics, (Applied) Physics or Electrical Engineering. • You have 3 to 4 publications. • You have excellent programming skills and experience. • You have good communication skills, and the ability to participate successfully in the work of a multidisciplinary research team. • You are creative, ambitious, hardworking and persistent. • You have a good command of the English language (knowledge of Dutch is not required).

Benefits

TU Delft offers an attractive benefits package, including a flexible work week, free high-speed Internet access from home (with a contract of two years or longer), and the option of assembling a customised compensation and benefits package (the 'IKA'). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

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