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Area of research: Professur Job description: Professorship (W2) of Artificial Intelligence in Pneumology (f/m/x) 102758 Full time Munich The Faculty of Medicine of LMU Munich and the Helmholtz
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cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
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the interdisciplinary scientific structure. An interest in research questions within oral medicine, knowledge of orofacial biomechanics, numerical analysis, methods within artificial intelligence and modeling
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/research/quantitative-single-cell-biology-of-the-immune-system-gruen-lab/ ) under Prof. Dr. D. Grün and associated with the Center for Artificial Intelligence and Data Science (CAIDAS). The applicant has
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represent a bioinformatics research topic in research and teaching, using innovative methods such as new approaches for single-cell analyses, the use of artificial intelligence, innovative statistical methods
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joint appointment procedure: Professorship for Simulation and Modeling of Processing Surfaces with beam-based Tools supported by Artificial Intelligence Methods (W2 with tenure track to W3 or W3
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of the consortium “DECIPHER-M: Deciphering Metastasis with Multimodal Artificial Intelligence Foundation Models”. This 5-year consortium is funded by the German Federal Ministry of Education and Research (BMBF) under
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computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging
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data science methods and artificial intelligence for comparison with observational data Synergies with the German Research Center for Artificial Intelligence (DFKI, Marine Perception research department
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artificial intelligence methods. PhD Position – Hydrogen corrosion assessment combining experimental and AI approaches Reference code: 50141225_2 – 2025/MO 2 Commencement date: as soon as possible Work