Several open PhD Candidate positions (including bioinformatics domains) as part of the International Training Programme on Precision Medicine - TranSYS

     
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WorkplaceLeuven, Flemish Region, Belgium
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Several open PhD candidate positions (including bioinformatics domains) as part of the International Training Programme on Precision Medicine - TranSYS

Several PhD candidate opportunities in the framework of the Marie Curie European Training Network (ETN), with the opportunity to work in different institutes in Europe.

We have 9 PhD research positions available:

  • ESR 1 (KU Leuven Belgium): "Development of individual-specific molecular networks" at the KU Leuven/Leuven University (Belgium)
  • ESR 2 (KU Leuven Belgium): "Hunting for patient subtypes through image-based phenotypes as biomarkers for major gene effects in medical disorders" at the KU Leuven/Leuven University (Belgium)
  • ESR3: "GDPR regulation in translational medicineMain" at the Erasmus Universitair Medisch Centrum Rotterdam (Netherlands)
  • ESR 4:  [Filled position]
  • ESR 5: "Personalized molecular signatures for modulatingprogression of metabolic liver disease (NAFLD) to hepatocellular carcinoma" at the Univerza V Ljublani (Slovenia)
  • ESR 6: "Dissecting cellular heterogeneity of Parkinson’s disease (PD) related iPS cells during aging by integrated single cell transcriptomics and imaging analysis to identify disease modifiers" at the Université Du Luxembourg (Luxembourg),
  • ESR 7: "Personalized approaches to modulate tumor behavior using vitamin D3" at the Fundacion Centro Nacional de Investigaciones Oncologogicas Carlos III (Spain),
  • ESR 8:  [Filled position]
  • ESR 9: "Patient-centric data integration framework for highly dimensional data" at the Barcelona Supercomputing Center (Spain),
  • ESR 10:  [Filled position]
  • ESR 11: "Identification of biological subtypes related to treatment resistant depression" at the Biomax Informatics ag, (Germany)
  • ESR 12: "Multi-omics analysis to delineate drug-response pathways" at the Universitair Medisch Centrum Groningen (Netherlands)
  • ESR 13: [Filled position]
  • ESR 14: [Filled position]
  • ESR 15: [Filled position]


For more info and description of each project: ?url=https%3A%2F%2Fgbiomed.kuleuven.be%2Fenglish%2Fresearch%2F50000622%2Ftranslational-systemics-transys&module=jobs&id=2663" target="_blank" rel="nofollow">https://gbiomed.kuleuven.be/english/research/50000622/translational-systemics-transys

TranSYS, coordinated by Prof. K Van Steen (KU Leuven), will recruit 15 ESRs (Early Stage Researchers) to highly skilled jobs in the new area of Systems Health developing tools and approaches to exploit large and complex datasets, to advance Precision (Personalised) Medicine in several disease areas. The training programme and experience of different international research environments cuts across traditional data and life sciences silos. The emphasis on translational research will support new collaborations between academics and the pharma and health analytics sectors. Our ESR projects will advance the state of the art on biomarker discovery, improve understanding of disease-specific molecular mechanism and target identification for optimal diagnostics, disease risk and treatment management, refine data generation and their management (including warehousing, disease specific and standardised approaches for data processing, visualisation and model development) leading to improved clinical study design, clinical sampling and more targeted therapeutics. This ETN (European Training Network) will internationalise participants, and leverage EC (European Commission) and industry sponsorship, to structure and expand the unique training programme and advance emerging research areas, combining wet-lab, clinical and Big Data resources with computational and modelling know-how. To achieve a paradigm shift in research training this ETN brings together international leaders in Preclinical Science & Molecular Medicine, Systems Analytics, and Targeted Therapeutics, from academia and industry. These experts are ideally positioned to develop the proposed training programme and deliver a highly-trained workforce of next generation scientists, with the right mind-set, knowledge and skills, at the interface of Translational and Systems Medicine. The TranSYS training programme is designed to addresses a critical skills gaps that is currently a bottle-neck to advancing Precision Medicine.

TranSYS, coordinated by Prof. K Van Steen (KU Leuven), will recruit 15 ESRs (Early Stage Researchers) to highly skilled jobs in the new area of Systems Health developing tools and approaches to exploit large and complex datasets, to advance Precision (Personalised) Medicine in several disease areas. The training programme and experience of different international research environments cuts across traditional data and life sciences silos. The emphasis on translational research will support new collaborations between academics and the pharma and health analytics sectors. Our ESR projects will advance the state of the art on biomarker discovery, improve understanding of disease-specific molecular mechanism and target identification for optimal diagnostics, disease risk and treatment management, refine data generation and their management (including warehousing, disease specific and standardised approaches for data processing, visualisation and model development) leading to improved clinical study design, clinical sampling and more targeted therapeutics. This ETN (European Training Network) will internationalise participants, and leverage EC (European Commission) and industry sponsorship, to structure and expand the unique training programme and advance emerging research areas, combining wet-lab, clinical and Big Data resources with computational and modelling know-how. To achieve a paradigm shift in research training this ETN brings together international leaders in Preclinical Science & Molecular Medicine, Systems Analytics, and Targeted Therapeutics, from academia and industry. These experts are ideally positioned to develop the proposed training programme and deliver a highly-trained workforce of next generation scientists, with the right mind-set, knowledge and skills, at the interface of Translational and Systems Medicine. The TranSYS training programme is designed to addresses a critical skills gaps that is currently a bottle-neck to advancing Precision Medicine.

TranSYS wishes to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.  Recruitment targets ESR backgrounds in 1) Lifesciences; 2) Engineering sciences and (3) Maths and Computational Modelling. 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. Solid written and oral communication skills in English are prerequisites of any successful application (typically IELTS min. 7, TOEFL internet-based min. 90 or similar level as proven by other tests). 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 2663.

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