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the cell response. A key innovation in this PhD project is to engineer environmentally (cell)-instructive hydrogels with controlled architecture (pore size, network interconnectivity) and mechanical
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for implementing response diversity enabled policy Network: ReDiLEEP - Using science-driven Response Diversity knowledge to Leverage Efficient Ecosystem Preservation and restoration Funding: Marie Skłodowska-Curie
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network. You will receive one-on-one training in a variety of research skills, including fluid dynamics methods, quantitative palaeontological analysis, field work, and scientific publishing. You will
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enzymes and can be engineered to generate reactive oxygen species (ROS) locally and in a controlled manner. The position is within the Marie Skłodowska-Curie Doctoral Network Implant-to-Market (i2M
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Skłodowska-Curie Doctoral Network Implant-to-Market (i2M), providing an international and interdisciplinary training environment connecting materials science, biology, medical devices and regulatory science
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microbiology, biophysics, as well as bioinformatics and the analysis of large datasets. Additionally, the PhD student will be part of the Swiss-wide NCCR AntiResist consortium, with lots of opportunities
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, as well as bioinformatics and the analysis of large datasets. Additionally, the PhD student will be part of the Swiss-wide NCCR AntiResist consortium, with lots of opportunities for scientific exchange
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interpretable alternative in modelling to the black-box approach of neural networks. Job description The selected candidate will work on the furhter development of spectral submanifold (SSM) methods, aiming
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effectiveness of the developed interventions with end-users and key stakeholders. The candidate will also contribute to ethics submissions, data governance documentation, and analysis plans in accordance with