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of an excellent team of several PhD students, PostDocs, and Researchers working on different projects related to biotechnological methods for producing recombinant silk proteins, characterization of these, spinning
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, Design and Engineering our students are studying to be for example innovators, entrepreneurs, illustrators, information designers, network technicians and engineers. We have five research specializations
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, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. The successful candidate must hold a PhD in one of
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include the design and implementation of finite element multiscale models and machine learning algorithms, analyzing related experimental data, and collaborating with industrial collaborators to validate
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collaboration with the Multiscale Inorganic Materials group, both part of the Division of Energy and Materials at Chalmers . The two groups together comprise nine senior researchers and 27 PhD students and
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. Most of your working time will be devoted to your own research but you will also be expected to co-supervise graduate students and collaborate with PhD-students. In addition, you may take part in other
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workshops, collection and analysis of data, writing of scientific texts, participation in and leading funding applications and other tasks related to RoC's activities e.g. within the framework of CoP and the
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experiments, molecular cloning, cell culture, and standard laboratory methods such as flow cytometry and RT-qPCR. The computational work includes, for example, the analysis of omics data and computational
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stiffness or stretchability. You will collaborate closely with PhD students and Postdocs in our group as well as external partners to study the mechanical, electrical, and electrochemical properties
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within the Data Science & AI division (DSAI). With 30+ nationalities and strong industry/academic ties, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences