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to component degradation, such as in the ion source or target, performance can change over time. Furthermore, operation may be suboptimal because operators typically don't explore the full tuning parameter space
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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
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the student to guide the research, but preliminary ideas include: Exploring whether suggested discharge limits derived from single organism experiments are protective of microbial communities; Using Bayesian
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Methods Monitoring biodiversity at scale is vital for meeting global conservation targets, yet manual field surveys are too expensive and time consuming. Automated systems like camera traps now generate
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strategy, a probabilistic (e.g. Gaussian Process Regression) model to describe the relationship between process parameters and material properties will be developed and subsequently exposed to Bayesian
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, identified key markers and regulators of disease progression are evaluated functionally in various human cell and tissue model systems to assess their potential as treatment or vaccine targets. Here you can
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
between process parameters and material properties will be developed and subsequently exposed to Bayesian optimization to find the optimal set of parameters that improve process performance and material
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exposed to Bayesian optimization to find the optimal set of parameters that improve process performance and material quality. Secondly, different machine learning strategies based on traditional supervised
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. Gaussian Process Regression) model to describe the relationship between process parameters and material properties will be developed and subsequently exposed to Bayesian optimization to find the optimal set
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No. 101227010 , at DTU Electro, the Technical University of Denmark, we are seeking a candidate for a PhD position to research novel noise characterization techniques for SiC optical frequency combs targeting