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research, we lay the foundation for a new generation of devices that use various types of microwave-optomechanical effects for efficient signal processing. We have realized quantum-limited microwave
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of transcription by RNA polymerase II (Pol II) in normal and disease states. We are particularly interested in essential and biomedical-ly important transcriptional cyclin-dependent kinases (tCDKs) that trigger
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, the Digital Precision Cancer Medicine Flagship (iCAN), and among others. Your mission To qualify, applicants must hold a PhD in computational biology and possess extensive knowledge of biomedical sciences. A
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investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations
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computational biology and possess extensive knowledge of biomedical sciences. A strong publication record and a solid background in computational RNA biology, particularly in alternative splicing regulation
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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
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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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research on emotion AI, learning processes and perception engineering for AI-based solutions e.g. in education and nursing. HI research combines the strengths of both humans and machines, emphasizing mutual