Postdoc Position in Denmark: University of Southern Denmark Apply by 12 November 2020

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Designation/Position- Postdoc Position in Denmark

University of Southern Denmark invites application for Postdoc Position in Denmark from eligible and interested candidates

About- The University of Southern Denmark is a university in Denmark that has campuses located in Southern Denmark and on Zealand. The university offers a number of joint programmes in co-operation with the University of Flensburg and the University of Kiel. Postdoc Position in Denmark

Research/Job Area- Biostatistics, Epidemiology, Clinical artificial intelligence, and big data analytics

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Location-  Denmark

Eligibility/Qualification–

The candidate is expected to have scientific qualifications at PhD. Within the general field of Clinical Artificial Intelligence and Data Science in Healthcare, we seek applications from candidates with expertise in one or more of the following research areas:

  • Biostatistics
  • Epidemiology
  • Clinical artificial intelligence
  • Big data analytics

Job/Position Description- 

The Section of Applied AI and Data Science at the Maersk Mc-Kinney Moller Institute, Faculty of Engineering, University of Southern Denmark, invites applications for a vacant post-doctoral fellowship position. The position is for a period of 2 years and available from 1. January 2021 or as soon as possible thereafter.

Job descriptionThe successful candidate will contribute actively to the research activities of the group, by applying different artificial intelligence and data science approaches towards the improvement of medical prognostic and diagnostic accuracy, personalized treatment and clinical decision making. More specifically, the successful candidate will be working on two commenced projects on: (i) early detection of liver fibrosis, and (ii) prostate cancer, in collaboration with Odense University Hospital. 

Project I: Early detection of advanced liver fibrosis 
Early detection of advanced liver fibrosis is very time-consuming and costly, as there are no obvious symptoms or easy diagnostic tools that accurately reflect the outcome. Through combining personal health information (e.g. weight, height, body mass index) with blood analyses and liver function tests data, we aim to develop an intelligent algorithm with high accuracy to detect liver fibrosis at an early stage of the disease. 

Project II: Prostate cancer 
The purpose of this project is to use non-conventional statistical methods to detect indicators in the past medical history able to predict the emergence of metastases in prostate cancer patients. The final aim is to develop a clinical decision tool able to determine the treatment with the greatest benefit to the patient.

Please check links for more information on salary and taxation.

How to Apply- 

The faculty expects applicants to read How to apply before applying. 

The application must be in English and must include:

  • Motivated application.
  • Detailed Curriculum Vitae.
  • Certificates/Diplomas (MSc and PhD).
  • List of publications indicating the publications attached.
  • Examples of the most relevant publications. Please attach one pdf-file for each publication.
  • Reference letters and other relevant qualifications may also be included.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Further information for international applicants about entering and working in Denmark.

Further information about The Faculty of Engineering.

For Contact- If you have any questions about this position, please contact Prof. Esmaeil S. Nadimi esi@mmmi.sdu.dk.   If you experience technical problems you must contact support-sdujob@sdu.dk

Interested candidates can apply online through the link given below.

Last Date for Apply–  12 November 2020

See Position Details-

Official Website-

Click here to apply- 

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See Also: Berlin Mathematical School PhD Program – Freie Universität Berlin

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