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advantageous. Programming and data analysis skills in Python, MATLAB, R, or similar are advantageous. Proficiency in English; German is a plus. Enthusiasm for interdisciplinary research and
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goal of the PhD is to computationally design using a simulation-guided approach and synthesize via light-based 3D-printing architecture (meta)materials for medical soft robotics applications
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time-resolved photoluminescence (TRPL), terahertz spectroscopy and transient absorption. Develop and apply data-analysis approaches for correlating results obtained from complementary characterization
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Science, or similar. A high level of motivation to work in close collaboration with an international, multidisciplinary research team is essential. Hand-on experience in vacuum technology, CVD and/or ALD
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training-recall-forgetting cycles on physical polymer films and bilayer actuators. Contribute to integrating learning materials into soft robotic bilayer actuators and, together with the wider team
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physiology, mechanical, environmental, biomedical engineering or similar discipline Experience in physics-based and data-driven modeling and data-analysis skills (e.g. Python, MATLAB, or comparable
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assays. Experience in catalysis, programming and large data analysis is a plus. Excellent communication skills and fluency in English (written and oral). Our offer The project is planned for 3 years
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antimicrobial biomaterials, microbiology, and bacteriophage therapy. The successful candidate will join an interdisciplinary research team developing innovative living hydrogel systems for the treatment of
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mechanical properties. Additionally, their dielectric, optical, mechanical, and electromechanical properties will be evaluated. You will join a strong team at the forefront of elastomeric materials
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-State Batteries Share Apply now Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well