243 structures "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" Postdoctoral research jobs in Sweden
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Subject description The Center for Molecular Protein Science (CMPS), Department of Chemistry brings together scientists active within the fields of biochemistry, molecular biophysics, structural
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: Very good oral and written proficiency in English. Experience in appropriate computational techniques, which can include electronic structure calculations, molecular dynamics simulations, QM/MM
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to contribute to applications for external research funds. In this project, your responsibilities will include leading the investigation of structural and biophysical properties of miniaturized tumor environment
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concerns about stigmatisation and social exclusion. The project aims to examine how personalised medicine can be made more inclusive by recognising family structures, belief systems and lived experiences
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proficiency in English. Documented experience of programming and/or energy system modelling. Innovative and creative; bringing ideas and new approaches to problem solving. Autonomous and structured; taking
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to work in a structured and methodical manner Eligibility A person who has been awarded a doctorate in a subject relevant to the position, or a foreign qualification deemed to be the equivalent of a
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to collaborate. Ability to take initiative, be structured, and work independently. Very good ability to express yourself in English, both orally and in writing. Desired qualifications Completed doctoral degree
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development of a novel potentially quantum-limited microwave amplifier based on hybrid semiconductor-semiconductor structures. Work duties The main duties involved in a post-doctoral position is to conduct
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fields. Important personal skills involve the ability to collaborate, communicate clearly in an interdisciplinary environment, and work in a structured and proactive way. Awareness of diversity and equal
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loop/TAD structures. - Perform comparative analyses versus Populus tremula; apply network modelling and machine learning for regulatory inference. - Functional validation of candidate TE‑CREs in spruce