Hunting for patient subtypes through 3D imaging biomarkers in genetic disorders (ITN-PhD Position)

     
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WorkplaceLeuven, Flemish Region, Belgium
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Description

Hunting for patient subtypes through 3D imaging biomarkers in genetic disorders (ITN-PhD Position)

Within this PhD project, we aim to develop a framework for gene-centric image data integration analytics and to support a patient stratification strategy that identifies major gene effects with potential applications in a variety of medical disorders. This will built on our previous work on rare monogenetic/ complex diseases in craniofacial and neurodevelopmental disorders, using available extensive datasets of different imaging modalities on individuals and patient groups. Mathematics, statistical genetics and deep learning in image analysis (potentially non-linear data-dependencies) will enable data-driven phenotyping from images for patient diagnostics, and stratified screening/subtyping.

The project outcome will lead to an improved understanding of the genetic architecture of the human face and brain and the effects of genome based stratifications in ’the normal’ population. Furthermore, new data-driven approaches will identify imaging biomarkers for patient diagnostics and subtyping taking normal-range variations and stratifications into account.

As part of a larger Innovative Training Network (ITN) EU funded project, TRANSYS (https://h2020transys.eu), we offer a unique PhD opportunity in an interdisciplinary research collaboration between Prof. Kristel Van Steen, Prof. Hilde Peeters and Prof. Peter Claes. This collaboration focusses on 3D image analyses, bioinformatics and clinical genetics to understand the genetic architecture of the human face and brain in health and disease.

As part of a larger Innovative Training Network (ITN) EU funded project, TRANSYS (https://h2020transys.eu), we offer a unique PhD opportunity in an interdisciplinary research collaboration between Prof. Kristel Van Steen, Prof. Hilde Peeters and Prof. Peter Claes. This collaboration focusses on 3D image analyses, bioinformatics and clinical genetics to understand the genetic architecture of the human face and brain in health and disease.

  • Have a strong background in computational (3D) image analysis and/or bioinformatics.
  • Have some background and a strong interest in human quantitative genetics, genetic epidemiology and, statistical genetics.
  • Programming skills are required.
  • Be interested in an intensive research experience.
  • Good skills in oral and written English.



TranSYS wishes to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. In total 15 early-stage researchers will be recruited that will work at the 13 beneficiaries all across Europe.
We expect that applicants hold a university degree that qualifies them for doctoral studies at their recruiting organization. Every applicant can apply for up to three ESR positions (first, second, third choice) from the list above.
At the time of commencement, it is required that the candidate has not been awarded a doctorate degree and is within the first 4 years (full-time equivalent) of her/his research career. Furthermore, the candidate must not have resided or carried out her/his main activity (work, studies, etc.) in the host country for more than 12 months in the 3 years immediately prior to her/his recruitment. Short stays, such as holidays, are not taken into account. The candidate is required to spend part of his/her project period at other institutions in the TranSYS consortium on secondments.

KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR [at] kuleuven[.]be.

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In your application, please refer to myScience.be and reference JobID 2677.

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