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Helmholtz Munich is a research center with the mission to discover personalized medical solutions for the prevention and therapy of environmentally triggered diseases and promote a healthier society in a rapidly changing world.

The Institute of Computational Biology is a dynamic, young and innovative institute that is engaged in the development of artificial intelligence methods for biomedical applications. In this highly explosive and relevant field of research we are one of the largest and most recognized institutes in Germany. On a national and international level we are active and recognized in numerous initiatives and networks. We develop cutting edge Machine Learning toolkits for emerging biomedical data types. We are putting together an agile group of students interested in working as student research assistants (HiWi). This cohort will address challenges across multiple Python-based open source machine learning toolboxes for single-cell data analysis. You will be responsible for defining project milestones and implementing solutions as an independent team.

Computational Health HiWi positions 2022: Machine Learning on big data in computational health 10110

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Image Neuherberg near Munich
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Your mission

  • Data pipelines for Deep Learning models in Torch and TensorFlow on distributed single-cell data.
  • Analysis and modelling with large distributed collections of single cell data.
  • Distributed processing and computations on image data with dask and zarr.
  • Infrastructure for interpretable modelling and causal Machine Learning.
  • Identify emerging technologies relevant for your application areas and facilitate technology transfer into biomedical research.
  • Contribute to an agile and supportive team of students, and improve your team-work, leadership, and project management skills.

Your qualifications

  • enrolled at a university or university of applied sciences
  • Exposure to software development, applied maths or single-cell data analysis
  • Experience in programming with Python
  • very good verbal and written fluency in English
  • Motivation to work independently in a team of other students
  • well-organized with flexibility to work on various upcoming tasks

Desirable qualifications
* Experience in software development using git and GitHub * Experience in Data Science * Exposure to distributed data handling concepts and tools

What we offer you

scientific training at HELENA Graduate School
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work-life balance
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flexible working hours & time off in lieu
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30 days annual leave
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on-site health management service
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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.

This position also provides the opportunity for you to build specialist knowledge and collect significant professional experience, both of which will help advance your scientific career.

Remuneration and social benefits are based on the collective wage agreement for public-sector employees at federal level (EG 13 50% TV EntgO Bund). In addition, there is also the possibility of granting an allowance amounting to 15% if the necessary conditions are fulfilled. The position is (initially) limited to three years, but 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.

Interested?
If you have further questions, simply contact David Fischer, Tel.: +49 89 3187 43126, who will be happy to be of assistance.
Helmholtz Zentrum München
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Institute of Computational Biology
Ingolstädter Landstraße 1 

85764 Oberschleißheim

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