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research with the aim of completing the dissertation and doctoral degree (either Doctor of Theology or Doctor of Philosophy) participating in and contributing to DIVSOL events and doctoral program and
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natural language processing techniques to analyze digital content such as images, videos, and textual content that relate to human-nature relationships, with a focus on data derived from digital platforms
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techniques available such as XRD, WAXS, XAS, XES, and imaging techniques (µCT). Modelling projects involve application and/or development of atomistic density-functional or Monte Carlo simulation techniques
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assays relevant to homeostasis and metabolism. Expertise in fluorescence-based microscopy and image analysis is highly desirable. A collegial and adaptive team player with a high degree of professional
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and training offered by the University of Helsinki Doctoral School. Application and selection procedure To apply, please send the following documents in a single pdf file: * A letter of motivation (max
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processes contributing to cancer. The candidate We seek a motivated candidate with a strong interest in computational cancer research, who is enthusiastic about applying deep learning methods to cancer data
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regulatory processes contributing to cancer. The candidate We seek a highly motivated candidate with a track record of statistical models, network science, and/or computational tool development dedicated
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and biotic stresses. We utilize state-of-the-art LC-MS and RNA-seq techniques to address significant questions in tRNA biology, for example how post-transcriptional tRNA modification dynamics influences
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. The position will be filled as soon as possible, or as agreed with the selected candidate. Selection process and employee benefits University of Helsinki welcomes applicants of any gender, linguistic and
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researchers (for further information, please see: https://blogs.helsinki.fi/viikki-postdoc/ ). Application and selection procedure To apply, please send the following documents in a single pdf file: * A letter