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matter physics, and quantum computing. You will dive deep into the realms of theoretical and computational physics with a focus on the development of algorithms and large-scale numerical simulations. Your
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Group in the Social Networks Lab at ETH Zürich is developing network data science methods and applying them in a variety of domains. Our current research focus is on sports analytics and we seek to expand
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transfer. We use complementary approaches including cryo-EM, biophysical methods and in vivo functional assays to study the protein machineries involved in this process. Join our young, ambitious, and
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systems. The PhD project will utilize a variety of molecular tools to analyze and manipulate biofilms. A particular focus will be on the use of transcriptomics, genetics, and microscopy methods
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systems. The PhD project will utilize a variety of molecular tools to analyze and manipulate biofilms. A particular focus will be on the use of transcriptomics, genetics, and microscopy methods
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about the development of simulation tools. Prior research experience in semiconductor physics, numerical methods, and programming in C++ is highly desirable. We are looking for a motivated scientist who
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engineering, or a related discipline Experience in mathematical modelling and numerical methods for ordinary and partial differential equations Strong interest in working in a cross-disciplinary, collaborative
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-handed one, known as enantiomers. Their handedness greatly influences molecular interactions, sometimes making the difference between a medical drug and a toxic substance. Therefore, methods for detecting
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science, or a related discipline Experience in mathematical modelling and numerical methods for ordinary and partial differential equations Strong interest in working in a cross-disciplinary, collaborative
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remains limited, with numerous fabrication challenges yet to be addressed. This collaborative project in close collaborration with partners at ETHZ and TU Delft aims to bridge the gap in current medical