187 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Technical University of Munich in Germany
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the study of the impact of digital and computational pathology on clinical workflows and patient care. Our lab is located in the heart of Munich at the TUM Klinikum rechts der Isar (MRI), Institute
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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in
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investigate rapid structural changes. These experiments are complemented by laboratory methods, such as atomic force microscopy and light scattering. We offer two PhD positions. PhD topic 1: The project
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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-funded project TOADAPT, which investigates the social-ecological adaptive capacity of forests across multiple scales and disturbance regimes. Your profile Completed PhD in forest ecology, environmental
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representations. • Computational efficiency: Designing adaptive and physics-aware strategies (e.g., optimized residual selection, physics-based zooming) for real-time inference. • Practical usability: Developing
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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
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19.11.2024, Wissenschaftliches Personal A PhD position (E13) in the fields of machine learning and game theory is available at the Department of Computer Science at TUM at the Chair of Decision
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) at the Technical University of Munich is looking for excellent candidates for a fully funded PhD position in the area of Scaling Agile IT Organizations to be filled in February 2025. Your Responsibilities Empirical
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postdoc working and PhD students) to join us and work at the forefront of this exciting project from November 2024. We are looking for outstanding /ambitious candidates with strong expertise/background in