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18.09.2024, Academic staff We have several 𝐏𝐡𝐃 & 𝐏𝐨𝐬𝐭𝐃𝐨𝐜 𝐨𝐩𝐞𝐧𝐢𝐧𝐠𝐬 in our Visual Computing & AI Lab in Munich! Topics have a strong focus on GenAI, including 3DGs, NeRFs, Diffusion
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Models, Knowledge Graphs, and related fields (e.g., Graph Machine Learning) Tasks: scientific research in at least one of the following areas: Natural Language Processing, Knowledge Graphs, Machine
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ML models and methodologies for the analysis of GVMs. Possible Research Directions: Synthetic Data, Evaluation Frameworks and Benchmarks for AML LLMs for AML Case Understanding Graph Neural Networks
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Transmission and processing of live measurement data from laboratory setups, as well as storage in databases, and live analysis and visual presentation Active participation in innovative projects based on open
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microscopy) MALDI MSI, laser microdissection MS, and LC-MS analyses to identify metabolite, lipid, and protein profiles in murine tissue and blood Evaluation, analysis, and visualization of data Documentation
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samples Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc. or a degree in a natural
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platform and other tools support researchers that use our platform (analysis or project on-boarding) develop and maintain ‘living’ systematic maps (automatically fetch and classify new publications and
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work at the interface between computational spatial omics, single-cell mass spectrometry (MS)-based proteomics, multiplex imaging, and bioinformatics. We have recently co-developed Deep Visual Proteomics
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-oncological risk assessment Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc. or a
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predict food-effector systems. Key Responsibilities • Develop graph-based (multi-)omics analysis algorithms • Benchmark graph-theoretic against graph-ML approaches • Analysis of food-related (multi-)omics