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Lüneburg) and supported by Dr.‑Ing. Frederic Bock (Hereon). The objective is to combine computer simulations and machine leaning models to extend their compatibility with problems from mechanical engineering
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working memory contents held within. Second, we will use computational spiking-neuron models to explain the results of the experiments and implement the neural mechanisms responsible. These models will also
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spaces and habits for them. This is a highly interdisciplinary project that combines computational modelling and behavioural science. The first part will be based on the use of state-of-the-art
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to deepen our understanding of IAI mechanisms and develop innovative antibacterial biomaterials to improve patient outcomes. Structured around three core scientific pillars-regenerative medicine, biomaterial
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mechanistic and clinical studies. To expand our activities, we are looking for a motivated PhD student to investigate mechanisms of disease and drug resistance in myeloid leukemia. Job-ID: V000014484 Field
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, this interdisciplinary project will focus on developing robust, practical tools to assess and predict recyclate quality. The work will involve thermal analysis (e.g. DSC, TGA), rheology, mechanical testing, and molecular
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, engineering (e.g.: mechanical, electrical, electronic, materials) or a related subject. A relevant master’s degree and/or experience in the use of wearable technology will be an advantage but not essential
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PhD candidate in Design and synthesis of pyrophosphate mimetics to study enzymes involved in natural
by ADP-ribosyltransferases of the PARP family, while ADP-ribosylhydrolases remove the ADP-ribose residue. Understanding the detailed mechanisms of such modification and demodification is vital
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this advanced manufacturing process will open new opportunities: devices with variable mechanical and chemical properties; fully 3D-printed electronics; and devices with mechanical or electrical responses encoded
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sequencing, bulk and single-cell RNA-seq. These methodologies will be refined and later applied to Welsh genomic resources (SAIL/AWMGS) to identify patient subgroups, uncover disease-driving mechanisms, and