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Research Infrastructure? No Offer Description We are looking for an outstanding PhD candidate on Problem-aware and Similarity-driven Optimization Algorithm Design, Selection and Configuration. This research
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activities Contribute ideas about the design of prospective and laboratory studies to examine the influence of biopsychosocial factors on skin disease outcomes Examine and safeguard the needs and preferences
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of this nationwide project. Key work activities Contribute ideas about the design of prospective and laboratory studies to examine the influence of biopsychosocial factors on skin disease outcomes Examine and
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and uptake of replications and adversarial collaborations within psychology. Your role will involve: ▫ Conducting literature search ▫ Designing studies and coordinating online data collection
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datasets, and apply quantitative research designs that might include synthetic controls, difference-in-differences, regression discontinuities or multi-level models. Quantitative findings are expected to be
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inference. This framework comprises three main components: causal discovery, identification analysis, and experiment design. The causal discovery part learns a causal model of the environment from
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within psychology. Your role will involve: ▫ Conducting literature search ▫ Designing studies and coordinating online data collection ▫ Analyzing data ▫ Writing scientific articles ▫ Contributing
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designs that might include synthetic controls, difference-in-differences, regression discontinuities or multi-level models. Quantitative findings are expected to be complemented by fieldwork and interviews
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face growing pressure to design activist industrial policies to address pressing issues – such as completing the green and digital transitions and creating "good" knowledge-based jobs by attracting high
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, and experiment design. The causal discovery part learns a causal model of the environment from the available data. This model is then used in the identification analysis to get an estimate of the causal