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Field
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enable seamless human–machine interaction by interpreting brain activity (e.g., EEG signals) in real time using energy-efficient neuromorphic hardware. The successful candidate will work on the design and
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experience in designing and implementing interactive data visualizations using common libraries like D3.js, ggplot, or vega, as well as expertise in languages and libraries for data analysis such as R
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interested in understanding mechanisms driving innate immune responses during host-pathogen interactions, and how commensal microbes shape host immunity in health and disease. Our research combines
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membrane design, as well as advanced membrane fabrication techniques utilizing electrospinning, phase inversion, and additive manufacturing. The researcher will also develop robust pretreatment processes (MF
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discovery to join our interdisciplinary team focused on understanding antibody-antigen interactions and advancing vaccine and therapeutic design for cancer and other diseases that affect both humans and
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close synergy with partners. Activities: Design and synthesis of photocatalytic materials Development of semiconductor nanoparticles (sensitized or not with grafted dyes) and molecular systems
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processing and integrating massive multi-omics datasets from clinical cohorts. Key Responsibilities: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised
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which small-molecule inhibitors and therapeutic antibodies modulate autoimmune diseases, including rheumatoid arthritis and inflammatory bowel disease. Responsibilities include designing and performing
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. This exciting project focuses on further development of beam position monitoring structures and high gradient testing of components. They will play a key role in designing, fabricating, and testing advanced
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, thematic analysis), with proficiency in NVivo or similar qualitative data analysis software. Demonstrated skills in simulation modelling and in designing and developing interactive dashboards to support