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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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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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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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-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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collecting the samples, you will perform lab analyses to determine the total elemental composition and elemental speciation of various chemical compounds using ICP-MS based methods, as well as other chemical