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agencies and other national laboratories. The candidate will develop power systems and electricity market modeling, and analytics tools that support energy, economic, and financial analyses of power grid
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, sustainable medium for molecular computation and data storage. The successful candidate will lead the design and modelling of thermally regulated DNA motifs and contribute to the development of an automated and
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with research experience in epigenetics, stem cell reprogramming, neural development, disease modelling using human iPSCs, and/or genomic medicine. In particular, we seek applicants with expertise in
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environment in which diversity and inclusion are lived. Flexibility: We demonstrate flexibility not only with the various working time models but also through the offers for the compatibility of family and
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. The research involves the development of practical and computationally efficient methods for adapting and fitting models from survival analysis to infectious disease transmission data and other data, including
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
currents, sea ice, and its ability to absorb heat and CO2 from the atmosphere, is undergoing climate-related changes. It is not beyond the reach of human-induced changes to our planet. In recent decades
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of the extraction and beneficiation system. This work will require an understanding of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict
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or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic research papers. They should be organized, self
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)-statistics, (applied) mathematics, or a related STEM field. Prior working experience with EHR data, machine learning, NLP, bioinformatics, and large language models (LLM) is preferred. In particular
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Doctoral Researcher in statistical signal processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from