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. Knowledge or experience in at least two of the following topics: a) Device physics (including simulation tools such as Sentaurus or mumax etc.). b) Basic circuit design (including tools such as SPICE
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engages with social history and lived experience and who is keen to develop their archival research skills, knowledge of riverine material culture and to employ object-centred design historical
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technology. Working at the interface between soft robotic engineering and psychological science you will be expected to design and make devices, design and run behavioural experiments and surveys, analyse data
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electron microscopy (4D-STEM) techniques. The Research Associate will design and execute in-situ experiments under liquid nitrogen and liquid helium conditions, including developing the hardware and
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in Python programming. Experience with machine learning methods, bioinformatics, and data science. Familiarity with generative AI tools for protein design and protein language models. Knowledge
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. Knowledge of basic chemistry as related to research design and experimentation. Familiarity with basic molecular biology techniques such PCR and RT-PCR. Desirable Qualifications: Experience with 3D cell
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We are currently offering a PhD student position focused on developing new AI-driven methods for molecular engineering, with an emphasis on the discovery and design of solid polymer electrolytes
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challenging molecular engineering problems in life sciences and materials design. Situated in the Data Science and AI division, our group advances generative models, molecular simulations, and molecular design
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demonstrated experience. Support to the relocation issues. Life Insurance. Work-Life Balance and Flexibility with flexible work schedules 28 holidays per year Flexible compensation plan: tax advantages
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(coordination) and safety constraints can be intractable. Your work will bridge this gap by providing generalizable, provable design approach that apply across a wide range of networked systems. This 3.5-year PhD