Job Properties
Job Type
Full-time Position
Category
Security & Surveillance
Languages
English
Experience Required
Degree Required
-
Province
-
Date Posted
PhD student Acutelines+ 查看更多
PhD student Acutelines
+ 查看更多
Functiebeschrijving
As PhD student you will work on developing and validating novel tools for the diagnosis and stratification to personalized treatment in early sepsis. Therefore, we are collecting high-quality big data involving demographic and medical data from the electronic health record, combined with vital parameters, electrophysiological waveforms measured by wearable devices and cross-omics data. In the current project, we will perform transcriptomic (i.e. RNA sequencing) and proteomic measurements, which will be integrated by cross-omics analysis to predict response to treatment and identify pathways driving organ failure in sepsis. The results will be validated for clinical use on a point-of-care multiplex PCR. We will integrate medical and molecular data using machine-learning approaches to identify patients with early sepsis at risk for deterioration, predict treatment response and guide clinical decisions.
You will closely work with experts from different disciplines within the UMCG (including Internal Medicine, Emergency Medicine, [Experimental] Pharmacology) and experts from industry, as well as experts in this field from other universities. Results will be presented at scientific meetings and published in journals.
You will closely work with experts from different disciplines within the UMCG (including Internal Medicine, Emergency Medicine, [Experimental] Pharmacology) and experts from industry, as well as experts in this field from other universities. Results will be presented at scientific meetings and published in journals.
Wat vragen wij
You should be a creative and enthusiastic researcher with an MSc degree in Bioinformatics, Molecular Biology, Biomedical Sciences, Artificial Intelligence, Data Sciences or similar, with a clear interest in big data and an affinity with acute care and medical applications. Experience with -omics data analysis and machine learning are preferred, but not essential. Good social, communicative, collaborative and problem-solving skills are essential.
The UMCG has a preventive Hepatitis B policy. The UMCG can provide you with the vaccination, should it be required for your position.
In case of specific professions a 'Certificate of Good Conduct' is required.
The UMCG has a preventive Hepatitis B policy. The UMCG can provide you with the vaccination, should it be required for your position.
In case of specific professions a 'Certificate of Good Conduct' is required.
Wat bieden wij
This is a full-time appointment (36 hours a week) for four years starting from October 1st (negotiable) that should result in a PhD thesis.
Your salary will be a minimum of € 2.631,- gross per month in the first year and a maximum of € 3.336,- gross per month (scale PhD) in the final (4th) year, based on a full-time appointment. In addition, the UMCG will offer you 8% holiday pay, and 8.3% end-of-year bonus. The conditions of employment comply with the Collective Labour Agreement for Medical Centres (CAO-UMC).
Your salary will be a minimum of € 2.631,- gross per month in the first year and a maximum of € 3.336,- gross per month (scale PhD) in the final (4th) year, based on a full-time appointment. In addition, the UMCG will offer you 8% holiday pay, and 8.3% end-of-year bonus. The conditions of employment comply with the Collective Labour Agreement for Medical Centres (CAO-UMC).
Meer informatie
Neem voor meer informatie contact op met:Hjalmar Bouma, telefoonnummer 0031 6 2565 0573
Solliciteren
Please use the the digital application form at the bottom of this page - only these will be processed.
You can apply until 19 September 2022.
Within half an hour after sending the digital application form you will receive an email- confirmation with further information.
You can apply until 19 September 2022.
Within half an hour after sending the digital application form you will receive an email- confirmation with further information.
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