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sequencing (WGS). We are now aiming to further develop our analysis pipelines and are looking for someone to work on bioinformatics development, with a focus on optimizing the analysis of SNVs, structural
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materials, including graphene related materials, optimized for application in sorption/separation of lanthanides and actinides. The project aims to prepare materials with high surface area using chemical
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optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be validated in half-cells and full working batteries at industrial partners at TRL 6. Our
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into scaffold–cell interactions and contribute to the development of clinically relevant bone substitutes. Project goals Goal 1: Develop and optimize biomaterial inks replicating the composition of natural bone
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materials, including graphene related materials, optimized for application in sorption/separation of lanthanides and actinides. The project aims to prepare materials with high surface area using chemical
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, the focus will be on implementing inverse design, optimization, and/or machine learning for designing and optimizing devices in integrated photonics, which will be subsequently fabricated and tested by our
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inverse design, optimization, and/or machine learning for designing and optimizing devices in integrated photonics, which will be subsequently fabricated and tested by our experimental partners in Metapix
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service layer, resulting in suboptimal remediation. This project introduces a bottom-up approach to network security, integrating physical-layer perspectives into the design and optimization of future
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strive to ensure that the beamtime is used optimally and that all users have the support they need to successfully complete their experiments. Our goal is to make a meaningful contribution to the research
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the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics