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, regeneration and cancer with emphasis of finding new tumour-specific targets. Her lab combines genetically engineered mouse models, patient-derived organoids, and advanced genomic tools to investigate how Wnt
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to deliver a high quality biodiversity dataset of benthic species occurances in the Atlantic. You will quality control the outputs of a newly trained artifical intelligance model for deep sea species
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trained artifical intelligance model for deep sea species identification, and you will support onward analysis of these datasets. For more information on Biological and Marine Sciences please visit our
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and or pushing the performance frontier toward 30 keV. However, the FEL output critically depends on the quality of the electron bunches. Producing low-emittance beams through advanced spatial and
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related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Basic Qualifications Core job duties include
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with the modelling approach of the collaborating Post Doc, we aim to unlock innovations allowing for cell capacities up to 4 kWh and discharge durations of up to 100 hours. Where to apply Website https
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approaches. The PhD will develop and apply optimization-based energy system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical
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for therapeutic intervention. This PhD project will leverage large-scale single-cell RNA-seq and spatial transcriptomics datasets from infection biology to develop models, including transformer-/graph-based models
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applications, agricultural monitoring and modeling, Agro-AI/ML, or digital twin. Instructions to Applicants: For full consideration, applicants must apply for the Research Assistant Professor at https
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situ or even operando (laboratory and Synchrotron), and modeling tools (Monte Carlo, molecular and Brownian dynamics, machine learning), allowing, as often as possible, spatially and temporally resolved