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mutation on protein structure and the role of genomic alterations on cancer cell state. While this position is computational, the project is highly collaborative, involving regular interaction with
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research on design and manufacturing of soft fluidic catheter robotics. This role will propose novel design of soft robotic materials and structures driven by the fluidic environment. Experiments will be
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(DPPs) as a key enabler of circular business models, aiming to reduce CO₂ emissions and improve resource efficiency through enhanced data-driven lifecycle management. A DPP can be viewed as a structured
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-)fluidics Implementation of microscopy techniques (including confocal) and microrheology Structural and mechanical characterization of the gels Data analysis (using Python or equivalent tools) Literature
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experience in molecular cloning, library construction, and microbial genetics. Familiarity with or interest in applying phage systems for directed protein evolution. Ability to work independently and
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and inclusive lab structure, promoting open communication, scientific curiosity and creativity, by building strong collaborations. We also provide an excellent opportunity to thrive independently. Our
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programming languages including C, C++, C#, Python. A4 knowledge of the theory and practice of structure elucidation by single crystal X-Ray diffraction, and other techniques for materials characterisation. A5
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. Skills Essential: C1 Skills in Synthesis, Reaction Optimisation, Heteronuclear NMR and Mass Spectrometry or other analytical tools relevant to the characterisation of supramolecular hybrid structures. C2
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closely with an industry partner, you will generate cutting-edge insights into protein structures and protein-ligand interactions using in silico approaches such as bioinformatics, modelling and docking
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interdisciplinary structural biologists is expanding! We are looking for a Research Fellow fascinated by the structural basis of molecular functions. You will study the mechanism of RNA acetylation, how post