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and unexpected alternative strategy: by lining membrane pores with intrinsically disordered proteins (IDPs) to guard the gap. The best example is the nuclear pore complex (NPC), responsible for all
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efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis for medical imaging, tailored for deep learning
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Analytical thinking, data analysis, and critical problem-solving skills. Commitment to rigorous scientific standards and accurate record keeping Time management and ability to work independently Excellent
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challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences
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(SELECTED TASKS) From requirements analysis to conceptual design and final creation and validation of Runtime Multimodal Multiplayer Virtual Learning Environment (RMM-VLE) based on DTCS and real-time IoT
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the PhD student in high-performance computing, computer programming, applied mathematics, fluid mechanics, mathematical modelling and data analysis for large datasets -of the order of 100 Terabytes
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Summary: The Engineering Researcher I contributes to the planning and design of engineering research and creative projects. Performs supporting research and creative activities such as data analysis
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such as data analysis, monitoring outcomes, performing lab maintenance, and/or performing experiments and creating creative projects. May assist in short- and long-term planning and project goals. May
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(sequence homology- or protein structure-based) Familiarity with UNIX/LINUX-based operating systems and shared compute infrastructure Proficiency in Python, R, or similar languages for data analysis
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for analysis of the data you create. Your findings will be a vital part of understanding the evolution of cancer drug resistance in cell models and in patients. About you: You’re excited about our research