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Field
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of heterogeneous technologies are increasing the complexity of power delivery, thermal management, and energy optimization across the entire computing stack. Emerging technologies such as fine-grain 3D integration
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principles” is essential for rational materials design, but the underlying numerical simulations are computationally expensive, limiting studies to small systems and short timescales. This project will explore
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development (experience in multiple fields are considered beneficial). Familiarity with simulation software and numerical methods and proficiency in programming languages (Rust, Python, MATLAB, C/C
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to optimize and analyze the developed sensor systems. We are looking for a highly motivated PhD candidate to strengthen our interdisciplinary research team. Be part of change Develop intelligent sensor systems
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studies investigating target-directed microRNA degradation (TDMD) in T-cell acute lymphoblastic leukemia Establish, optimize, and maintain T-ALL experimental systems, including cell line, primary patient
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physics, quantum optics, exciton–polaritons, light–matter interaction, numerical simulations, or quantum modelling is meritorious. Willingness to work in an inter-cultural, international, and diverse group
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the process window for this technique across several materials and to assess the extent to which the patented material properties are realised. To identify the optimal processing conditions, a range of forging
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network architectures for AI compute clusters utilising optical switching and numerically assess the performance via software simulation tools. Define the system specifications which will be then translated
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to the hazardous noisy non-convex optimization. • The scope of (new) applications is very large. Initially we will focus on qubit systems but in a second step we will consider Hubbard like models for strongly
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-constrained devices such as wearables, smart sensors, hearables, and IoT nodes. While current deployment methodologies can optimize models before deployment, the resulting software remains static throughout