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dynamism. Its status as a comprehensive university allows for multidisciplinary learning and teaching and has great potential for internationally renowned, interdisciplinary research. Almost all of its
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objects (e.g., fabrics) Bimanual coordination and manipulation planning Vision- and tactile-based perception and state estimation of deformable objects Simulation and reality gap bridging for deformable
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of brain and other mouse tissues.•Animal experimentation, including injections, perfusion, etc.•Molecular and cellular biology experimentation (e.g., PCR, Immunoblotting, cell culture)•Maintenance
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for high-precision, dynamic biomechanical testing. This includes:* improving actuation control (speed and smoothness of motion),* ensuring synchronization with imaging systems (e.g., micro-CT, OCT
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university regulations。Applicants should hold a Ph.D. degree, be under 35 years old, and have a background in immunology, molecular biology, or intestinal model research. Preference will be given to candidates
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interdisciplinary team. Applicants with strong background in the following fields are preferred: Dynamical Systems Control Theory Formal Methods Machine Learning Context The applicant will be directly advised by Prof
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] Subject Areas: Multiphysics Simulation of Hemodynamics, Treatment, and Long-Term Perspective of Cerebral Aneurysms Using Lattice Boltzmann Methods. Appl Deadline: 2025/06/30 11:59PM (accepting
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, superwettability);•Microscale fluids (microfluidics, droplet dynamics, microscale flows);•Nanotechnology (nanomaterials, nanostructures, size effect).•Principal InvestigatorThe PI for laboratory of interfacial and
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static and dynamic 3D reconstruction, semantic scene understanding, and generative models for photo-realistic image / video synthesis. Overall, the main focus is on high-impact research with the aim
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine