Humboldt-Universität zu Berlin - Abteilung Haushalt und Personal

Faculty of Life Sciences - Department of Biology

Job description:

• scientific services in research in the DFG project “SimLivA 2”, in particular in development of digital twins of the liver for clinical decision support
• opportunity for own scientific Qualification (doctorate)

Requirements:

• completed scientific university degree and in(bio)computer science, (bio)physics, mathematics, engineering or a similar degree in the STEM field
• advanced programming skills in Python desired; other programming languages are an advantage
• knowledge of databases (REST)
• knowledge of data science (data analysis, statistics, visualization)
• very good command of written and spoken English (at least C1)

Experience with the following is desirable:

• ODE modeling, in pharmacokinetics, ADME, pharmacology, toxicology
• Machine learning (neural networks)
• with 3D visualization (meshes, VTK)
• HTML, Java-Script/ Web-Frontend-Development
• Linux

Further information about the project:

https://livermetabolism.com/simliva2

Please send your application (including a cover letter, CV and relevant certificates), referencing the job id to Humboldt-Universität zu Berlin, Faculty of Life Sciences, Department of Biology, Dr. Matthias König (Address: Philippstr. 13, Haus 20, 10115 Berlin), Unter den Linden 6, 10099 Berlin, or preferably via email as a PDF file to koenigmx@hu-berlin.de.

The Humboldt-Universität zu Berlin is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration history are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only.

Information pursuant to Art. 12, 13 DSGVO on the processing of personal data (at Humboldt- Universität) within the framework of job advertisements can be found on our Website: https://hu.berlin/DSGVO.

Please visit our website www.hu-berlin.de/stellenangebote, which gives you access to the legally binding German version.