Phd Position RHeumatic Digital Twin Integrating

6 maanden geleden


Delft, Nederland TU Delft Voltijd

PhD Position Rheumatic Digital Twin | Integrating Clinical and Omics Data-
Job description

In short
- You will work in a highly multi-disciplinary environment ranging from data scientists to treating rheumatologists with the focus to develop and translate novel algorithms for patient stratification to a clinical setting.
- You will actively disseminate your work by writing scientific manuscripts and presenting your research at international conferences.

The research

Clinical need: Rheumatic diseases are chronic inflammatory conditions affecting joints and cartilage and are characterized by their progressive and disabling nature. Rheumatic diseases display a wide heterogeneity stemming from complex interactions between genetics and environmental factors, and frequently lead to chronic autoimmune responses causing severe joint and cartilage damage. A timely recognition of rheumatic diseases in all its subtypes is therefore essential.

Your project: Within our consortium, we set out to evaluate various omics data types such as auto-antibody panels, NMR metabolomics, and RNA sequencing for their potential to enhance the speed and accuracy of IRD diagnoses. For this purpose, you will complement routine diagnostic data with omics data and compute patient-patient similarities to comprehensively map the entire spectrum of IRDs into a landscape of IRD patients, referred to as the ‘inflammatory Rheumatic Digital Twin (iRDT)’, which can be used to guide the diagnosis and treatment of future patients. Next to the developing the methods to integrate the data, you will investigate: 1) to what extent do omics resources underpin patient stratifications obtained using an iRDT based on routine diagnostic data only; 2) whether your patient groupings are more informative on treatment outcomes; and 3) what molecular mechanisms differ between the data-driven patient groupings.

**Requirements**:
You hold a MSc degree in bioinformatics, computer sciences, statistics, life sciences or a similar area. You possess a strong background in data analytics and machine learning methods. You enjoy gaining, combining, and translating knowledge from multiple fields and have an optimistic and kind nature.

Conditions of employment

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.

TU Delft (Delft University of Technology)

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

Challenge. Change. Impact

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment - which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Additional information

Application procedure
- A pre-employment screening can be part of the selection procedure.
- Please do not contact us for unsolicited services.
- FACULTY/DEPARTMENT***

**Faculty of Electrical Engineering, Mathematics & Computer Science**:

- JOB TYPE***

**PhD**:

- SCIENTIFIC FIELD***

**Engineering**:

- HOURS PER WEEK***

**36-40**:

- SALARY***

**€ 2.770,00 - € 3.539,0



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