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Resilient Communication and Learning-based Control for Embodied Networked Intelligence (6G-life) (ID: TUEILSY-PHD15) Safe and capable humanoids in interaction-rich scenarios (ID: TUEILSY-PHD12) Act Based
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of the next-generation image analysis and control framework for microfluidic live-cell analytics in close collaboration with partners at HZI, Helmholtz Munich and HHU. Your tasks in detail: Establish deep
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of Position Full PhD Working Language English Required Degree Final examination Bachelor Areas of study Financial Management, Insurance, Economics, Accounting, Taxation, Controlling, Economic Sciences
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processes and infrastructures Development of control concepts for highly dynamic and load-flexible plants Coupling of technical, economic and ecological perspectives for optimised process design Experimental
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physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic environments Design and implement reinforcement learning algorithms for control and
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of conduction electrons (momentum relaxation). To decode and even control the dynamics and coupling of these processes, we develop sensitive optical methods based on ultrashort electromagnetic fields in the THz
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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Your Job: Building and improving the existing measurement setup Performing controlled "leak" experiments and collecting high-speed data Working in high vacuum applications such as Einstein Telescope
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Your Job: As part of your activities, you will carry out investigations of the continuous butanediol dehydrogenation under dynamic hydrogen release using pressure control in the laboratories
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and characterise bistable DNA origami nanostructures capable of controllable mechanical switching in combination with optical actuation and readout. By engineering nanoscale beams and integrating