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this position, you will develop agentic AI solutions that can autonomously configure and deploy 6G and edge-cloud functions, using digital twins and advanced validation techniques. You will work closely with
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amplifier performance. By combining advanced device measurements, empirical modeling, and power amplifier design, this project will generate new insights into the material, process, and design factors
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. You will work with trace amounts of radioactive tracers in an inert gas glove-box and learn to interpret results into parameters used for safety evaluations of waste repositories. The experience gained
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battery performance. The project combines expertise in materials science, electrochemistry, and physics, and offers a collaborative environment with access to well-equipped labs and technical support. About
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comprehensive design framework that integrates simulation, experimentation, and machine learning. Fall-related injuries are a leading cause of morbidity and mortality in aging populations, making this work a
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within the project are highly valued. You will work in a collaborative environment where teamwork and scientific exchange are central to success. The main responsibility is to carry out the research
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mortality in aging populations, making this work a critical public health priority. The successful candidate will work in a collaborative environment that bridges academic research and industry application
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, and environmental sustainability. As a postdoc, you will become part of a dynamic team that offers a stimulating and flexible work environment, with opportunities for collaboration and networking both
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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are looking for a curious and driven postdoctoral researcher to join a project focused on improving how we study and optimize medical treatments. The work centers on advancing a vessel-on-a-chip platform—a