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Field
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progressive degeneration of peripheral motor and/or sensory neurons. Phenotypic and molecular characterisation of these mutants involves Drosophila genetic approaches, behavioural analysis, immunohistochemistry
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the quantification of uncertainty for these models, e.g. through Bayesian techniques, sensitivity analysis or similar. You also possess: A PhD in Hydrology, Earth Sciences, Water Management or a similar
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part of experimental research. Experience with quantitative/qualitative methods (statistical methods and interview analysis). Experience as audiovisual translator is a distinct advantage. Knowledge of
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and proven affinity with sustainability and teaching will also be considered. Experience with prospective life cycle assessment and/or material flow analysis/dynamics stock flow modelling. Basic
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work will be on reliability analysis and diagnostics of medium-voltage SiC MOSFETs, including the development of advanced test platforms for device and packaging evaluation. Key responsibilities include
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must have extensive expertise in deep learning for medical image analysis. We welcome applications that only partially qualify these requirements but make sure you argue why you are suitable
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coursework and GitHub repositories. Postdoctoral candidates must have extensive expertise in deep learning for medical image analysis. We welcome applications that only partially qualify these requirements but
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vegetation ecology. You have hands-on experience with ecological data collection and are proficient in data analysis and statistical methods. You are willing to travel to field sites across Europe, and
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conversational state of the art multimodal language analysis (such as motion capture and automatic speech recognition), as well as neuropsychological, psychological methods related to multimodal language and
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conversational state of the art multimodal language analysis (such as motion capture and automatic speech recognition), as well as neuropsychological, psychological methods related to multimodal language and