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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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well as fungal transformation is appreciated Experience with fluorescence microscopy Knowledge of programming, R, statistical analysis or bioinformatic is strongly appreciated Excellent English proficiency in
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mechanical analysis. Vibrational analysis using laser vibrometry, accelerometry, and modal analysis. - Data acquisition and processing: Collection, analysis, and interpretation of experimental data
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evolution of rhizobia in the lab and in plant mesocosms alongside omics technologies such as genomics and transcriptomics and analysis of pre-existing datasets. You will learn techniques such as sterile
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for the conservation-oriented management of historic centers, both in terms of analysis methods and the assessment of risks to cultural heritage, as well as in relation to the digital tools available for managing
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? No Offer Description Segmentation of scenes and shots for multimedia content monitoring and analysis using artificial intelligence and deep learning techniques, including transition detection, key
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framework based on linear stability analysis within the ALE approach to capture fluid-structure instabilities in a compressible, turbulent flow. 2. Providing predictive insights and confirm destabilization
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during the period from 2026-04-01 to 2027-03-27 within the framework of the project "Analysis and fractionation of biomass". You are welcome to apply by 2026-02-04. Project description The project
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of Chemistry during the period from 2026-03-02 to 2027-02-25 within the framework of the project "Analysis and fractionation of biomass". You are welcome to apply by 2026-02-04. Project description The project
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including