207 parallel-processing-bioinformatics positions at Technical University of Munich in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
will contribute to the operation and maintenance of the scientific infrastructure of the group. Requirements: PhD in mass spectrometry-based proteomics and a compelling publication record. Extensive
-
to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection
-
efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation
-
tools? This research area sits at the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Software Engineering (SE). The goal is to design and evaluate new interaction
-
partners (like Google, Google.org, SAP, Merck, TUM Klinikum, Holtzbrinck). Work with a state-of-the-art technology stack, DevSecOp pipeline, and SE processes. Work on cutting-edge medical AI use cases with
-
Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs
-
international conferences Application process We look forward to receiving your detailed application by 7 September 2025. Please submit the following documents as a single PDF file via e-mail to bewerbungen.cdt
-
Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in
-
control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
-
the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with