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Your main task will be to develop new methodologies for the application of deep learning on medical images for the purpose of disease diagnosis and outcome prediction. This will be done at the cross-section of medical specialties (including radiology) and computer science. To achieve these goals, you will have access to unique datasets from research institutions throughout Asia, the United States and Europe. This position is located in Maastricht, The Netherlands, at Maastricht University (www.maastrichtuniversity.nl), within the department of Precision Medicine (https://precisionmedicinemaastricht.eu), embedded in the research school GROW (https://www.maastrichtuniversity.nl/research/grow-school-oncology-and-developmental-biology).
We are looking for a positive-minded scientist with a PhD, fluent in English, both in writing and speaking and, preferably some experience as a postdoc and image analysis. Candidates must have a strong background in computer science, data analytics, or (bio)statistics. Proven expertise in machine learning, in particular Deep Learning, and programming (Python) is required. The candidates must be able to drive their own research agenda and be ready to write and submit grants. We expect you to be able to foster and initiate cooperation and enjoy teamwork in a multidisciplinary environment. In addition, candidates should be able to work independently, perform teaching activities, and supervise projects/PhD students.
Fixed-term contract: 1 +2 Years.
The position is for a fixed term of one year, with the possibility to extend with two extra years. The salary will be based on the candidates experience and can amount to a maximum of € 5.211 (comparable to max scale 11 VSNU), depending on your level of education and relevant experience and based on a full-time working week of 38 hours. If you are a non-Dutch national the 30% tax rule may apply.
The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website www.maastrichtuniversity.nl > About UM > Working at UM.
Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 20,000 students and 4,700 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.
For more information, visit www.maastrichtuniversity.nl.
Maastricht University (UM)
Universiteitssingel 50, 6229 ER, Maastricht
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