70 parallel-processing-bioinformatics positions at University of Groningen in Netherlands
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. The Faculty of Science and Engineering (FSE) contributes to this mission by training skilled professionals through our new EngD programme in Sustainable Process Design. This 2-year post-master design programme
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. The Faculty of Science and Engineering (FSE) contributes to this mission by training skilled professionals through our new EngD programme in Sustainable Process Design. This 2-year post-master design programme
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-driven and passionate about fundamental research in the context of evolutionary biology and ecology. Has strong bioinformatic skills (python, ideally experience with methylation data). Has strong
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on a flat-belt conveyor and are dynamically grasped, unfolded, and oriented by multi-axis manipulators fitted with custom force-feedback grippers, and will work in close concert with a parallel sensing
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. - Is curiosity-driven and passionate about fundamental research in the context of evolutionary biology and ecology. - Has strong bioinformatic skills (python, ideally experience with methylation data
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et al., 2017 [PMID: 28934475]; Incarnato et al., 2017 [PMID: 28180324]; Incarnato et al., 2014 [PMID: 25323333]) and bioinformatics analysis tools (Morandi et al., 2022 [PMID: 35361788]; Morandi et al
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Processes’ and ‘Physiology and Systems Biology’. Qualifications Who The ideal candidates must be highly motivated, hard-working, ambitious, creative, enthusiastic about RNA and interested in conducting both
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of sensing, signal processing, and movement that comes so naturally to us. This project, funded by an European Starting Grant, aims to develop a new class of chemical touch sensors that can be incorporated
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Job description Applications are invited for a Postdoc position within the research project “Uncovering the creative process: from Inception to Reception of translated content using machine translation
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Applications are invited for a Postdoc position within the research project “Uncovering the creative process: from Inception to Reception of translated content using machine translation” (INCREC