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technical expertise, coordinate collaborative workflows, and contribute to data analysis and project development. The position is to be filled by 01.03.2026 or 01.04.2026. Your tasks You will work with lung
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techniques Applying various molecular biology and NGS techniques Applying various computational methods to analyze the data Your qualification The candidates should have an excellent degree and/ or experience
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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these results with complementary techniques such as TEM or SEM Data Analysis and Interpretation: analyze experimental data using appropriate methods and software interpret the results in the context of refining
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and medical image analysis. The interdisciplinary and collaborative research environment at the DKFZ also results in excellent opportunities for computational and data scientists with interest in
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publications, diplomas, a two-page research proposal and contact information of two persons who can provide a reference letter. Please send your application electronically (one pdf-document
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, sustainability and user needs. Working digitally and sustainably: You will use Building Information Management (BIM) with CAFM integration, deliver structured and reliable data, take life cycle costs into account
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production of bacteria via mass spectrometry Statistical analysis of the resulting data The successful candidate will have the opportunity to work towards a PhD Required qualifications: University degree (M.Sc
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processing methods, mechanistic computer models and software tools and to use them in highly relevant clinical, biotechnological and pharmaceutical applications at the forefront of research. All projects
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career level (please seewww.tum.de/en/faculty-recruiting-faq/ for further information). A university degree and an outstanding doctoral degree or equivalent scientific qualification, as