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solution that has the potential to enhance current immunotherapy approaches. This includes cell culture, microscopy, histology and working with animal models. The work duties also comprise data analysis
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loop/TAD structures. - Perform comparative analyses versus Populus tremula; apply network modelling and machine learning for regulatory inference. - Functional validation of candidate TE‑CREs in spruce
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biological matrices. Hands-on acquisition of SERS data from biologically and clinically relevant samples, including in vitro bacterial cultures, experimentally infected wound models, and clinical wound samples
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with NGS platforms. We value a versatile computational background; experience with structural modelling or protein design tools is also considered a welcome asset to our diverse team. What do we offer
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, theory and modelling. The position will be placed at the division of Applied Chemistry in the group of Diana Bernin. Our group is multidisciplinary and you will be part of a dynamic working environment
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Division of Geoscience and Remote Sensing , we develop advanced methods and instruments to observe and understand the Earth system. Combining satellite, airborne and ground-based measurements with modelling
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optical communications and numerical modeling experience You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The following experience
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such as spectrally controlled reflectivity and transmission, down conversion, light trapping and light extraction, nonlinear effects, and solar cells. The work involves electromagnetic modeling
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and molecular genetics as well as hands-on experience with cloning, live-cell fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model
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measuring protein size distributions and knowledge of the underlying association models. Ability to apply for and get awarded external research funding Demonstrated pedagogical skills. Additional assessment