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language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods
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industrial partners. - Construction of electrochemical cells incorporating specially designed magnetic field sources, including quantitative measurement of local magnetic fields. - Implementation of tools
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on isolated mutations in patients with telomeric disorders Construction of KI cell lines using CRISPR-Cas9 Characterization of the telomeric phenotypes of these KI lines Characterization of the phenotypes
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experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance
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. - Structural and biochemical characterization of DNA origami using TEM, AFM, Cryo-EM, gel electrophoresis, and fluorescence-based assays. - Engineering of dynamic and stimuli-responsive DNA origami nano-machines
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the boundary layer and the turbines, but also at the center. This should shed some new light on the dissipative structures and extreme events possibly responsible for the large scale evolution of the flow
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, physical chemistry, photophysics and biology, and seeks to simultaneously extract structural, dynamical and environmental information at the single-molecule scale. Within the framework of this position
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encoding of information, inspired by concepts from single-pixel imaging, and transposed to fluorescence microscopy through the use of structured illumination with variable frequency. The objective is to
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ultrafast processes involved in LWFA. You will use the PIC code Smilei to model short time-scale phenomena (plasma ionization, initial heating, and LWFA dynamics within the formed channel). You will also
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surface-chemistry trends across selected metals and their oxides. These data will support the construction of a machine-learning force field tailored to NHC–surface systems, enabling large-scale molecular