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                leadership, the successful candidate will: Enroll to the doctoral programme of the University and undertake research in the field of European law leading to the award of the PhD degree Participate and 
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                -assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in 
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                (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission 
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                using biochemical and biophysical methods. Bridging protein-level approaches (mutagenesis, immobilization, expression optimization) with process-level solutions (bubble columns, microfluidic devices 
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                interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline 
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                computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput 
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                into this material and support tailoring its properties. For this, you will: Contribute to method development for ultra-fast MLIPs (Xie et al., npj Comput. Mater., 2023) Develop realistic MD simulation protocols 
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                ? The Department of Ecoscience is looking for a Researcher to join our team and help advance ecological monitoring using cutting-edge tools and methods. In this position, you'll have the opportunity to apply 
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                The Department of Cell Biology at Albert Einstein College of Medicine invites applications for a non-tenure track Research Assistant Professor position in Computational Cell Biology and Data Science 
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                axon development. However, these methods lack the resolution needed to analyse axon branching and synapse formation. This project aims to establish a high-resolution imaging pipeline by incorporating