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-cell data has its own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal of the project is to develop and apply bioinformatic tools
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21.10.2025, Wissenschaftliches Personal PhD position developing AI-based 3D perception and sensor fusion methods for real-time understanding of dynamic environments within the Marie Skłodowska-Curie
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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. The research associate (doctoral student) is expected to work and conduct research in the area of entrepreneurship and family enterprise while participating in the doctoral program. The position (m/f/x) is
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between the fields of computer sciences and architecture. The focus lies mainly on Building Information Modelling, decision-support methods in urban planning and knowledge-based design methods. As part of
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activities. ________________________________________ Candidate Requirements ✅ PhD degree in Engineering, Computer Science, Systems & Control, Statistics, Computational Physics, Computational Chemistry
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toward generative and multimodal AI methods that connect simulation, perception, and control within large-scale digital twins of urban traffic systems in Munich. The focus lies on advancing semantic
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propose to combine machine learning techniques with formal methods. We will focus on safe reinforcement learning of motion planning problems for autonomous vessels. Motion planning is particularly
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use of the structural information for structure-based ligand design projects in order to develop prediction methods to identify new food ingredients and flavor modulators. Key Responsibilities • AI
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introspective consistency and correlation across layers in the MLS map as further input to the BIM model. Development of methods for automatic or semi-automatic MLS and BIM model updates with minimal input from