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Our mission as research center: Discover personalized medical solutions for environmentally triggered diseases to promote a healthier society in a rapidly changing world.

Join our team and be part of our rich and dynamic research culture of enquiry and innovation. At the Institute of Biological and Medical Imaging (IBMI) researchers come from the top ranks of physics, chemistry, engineering, and biomedicine and attract significant investment from national and international sources. Our scientists serve in international societies and conferences and are recipients of a multitude of top international and German awards, including the prestigious Gottfried Wilhelm Leibniz prize and 11 ERC awards. In addition to scientific excellence, IBMI promotes entrepreneurship, company spin-off activities, and collaborations with other top academic institutions and leading corporations in the photonics, pharmaceuticals and healthcare sectors.

We now seek a highly qualified and motivated postdoctoral researcher (f/m/x) to drive the development of an advanced signal and image analysis framework for clinical optoacoustics.

Postdoc in advanced signal/image analytics in clinical optoacoustics (f/m/x) 101655

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Image Neuherberg near Munich
Image Postdocs

Your responsibilities

The successful candidate will be instrumental in re-designing the MSOT/RSOM analysis framework, adapting it to clinical studies and validating it for disease imaging against established gold-standard imaging techniques. Given the prevalence of vascular, metabolic and tumor diseases in modern societies, this project has huge potential for high-impact research findings and exploitation.

You will be integrated into a network of high-profile researchers within the Clinical Bioengineering Group, IBMI and University Hospital ‘rechts der Isar’, giving you excellent opportunities for scientific interaction and professional growth.

Your qualifications

  • A Ph.D. in Applied Mathematics, Biostatistics, Electrical Engineering, Physics or related discipline.
  • Excellent track record of research achievements and publications in top-ranked journals.
  • Strong background in biostatistics and biomedical signal/image analysis.
  • Strong background in applying imaging/sensing techniques to study tissue processes.
  • Strong motivation, scientific curiosity and commitment to scientific excellence.
  • Team player skills and enthusiasm to work in a multi-disciplinary, collaborative environment.
  • Excellent command of the English language.

Desirable qualifications:

  • Hands-on experience with clinical measurements.
  • Experience with preclinical/clinical optoacoustics.
  • Programming skills in R, MATLAB, and Python.

What we offer you

work-life balance
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flexible working hours & working-time models
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continuous education and training
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30 days annual leave
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on-site health management service
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Image home office options
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Image elder care
Image company pension scheme
Image discounted public transport ticket

Munich, with its numerous lakes and its vicinity to the Alps, is considered to be one of the cities with the best quality of life worldwide. With its first-class universities and world-leading research institutions it offers an intellectually stimulating environment.

Provided that the prerequisites are fulfilled, a salary level up to E 13 is possible. Social benefits are based on the collective agreement for the federal public service (TVöD). The position is (initially) limited to two years, under certain circumstances an extension can be arranged.

To promote diversity, we welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion and age. Qualified applicants with physical disabilities will be given preference.
If you have obtained a university degree abroad, we require further documents from you regarding the recognition of the degree. Please request the recognition as early as possible.

We are looking forward to receiving your comprehensive online application including your letter of motivation, CV and academic transcripts of records, preferably in English and in a single PDF file.

Interested?
If you have further questions, simply contact Angelos Karlas, angelos.karlas@helmholtz-muenchen.de, who will be happy to be of assistance.
Helmholtz Zentrum München
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Institute of Biological and Medical Imaging
Ingolstädter Landstraße 1

85764 Oberschleißheim

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