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position The Laboratory of Causal Systems Immunology is looking for a PhD student or postdoctoral researcher to advance in vivo perturbational screening. We have developed single-cell CRISPR technologies
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-dominated grids, protection systems, and wide-area dynamics. Scalable algorithms and numerical methods for large-scale simulation. Scientific software and software architectures for next-generation simulation
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to represent PVD-functionalized electrodes without unnecessarily increasing computational cost. The work will combine fundamental modelling, numerical simulation and experimental validation, with a strong
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, small-signal stability analysis, impedance- and admittance-based methods, frequency-domain characterization, grid-forming converters, multi-converter interactions, EMT-based validation and scalable
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monitor quality of the processes and assist with troubleshooting and procedure adjustment where required. You will also contribute to the bioinformatic analysis of whole-genome sequencing data generated
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networking. The research areas focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases
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analysis, time-series modelling, clinical prediction, risk modelling, survival analysis, causal inference, spatio-temporal modelling, or multimodal data integration. The candidate should be motivated by
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well as public databases. Expertise in the data analysis of one of the modalities that we will use in this project (single cell transcriptomics, ATACseq, proteomics or long-read DNA or RNA sequencing) will
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– to go beyond a purely technical legal analysis and to consider power dynamics and the way discourses and practices are constructed before, during, and after cases. Climate change particularly affects
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, electrical measurements such as capacitance-voltage analysis are widely used to extract parameters including effective work function, flat-band voltage, effective oxide thickness, and charge or dipole