23 Design scholarships at Leiden University in Netherlands

PhD Candidate on Problem-aware and Similarity-driven Optimization Algorithm design, Selection and

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

PhD Candidate Biopsychosocial factors in chronic skin conditions

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

PhD Candidate Biopsychosocial factors in chronic skin conditions

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

PhD candidate in Responsible Research Methods (1.0 FTE)

and uptake of replications and adversarial collaborations within psychology. Your role will involve: ▫ Conducting literature search ▫ Designing studies and coordinating online data collection

PhD Candidate in Political Science

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

PhD Candidate for Causal Inference

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

PhD candidate in Responsible Research Methods (1.0 FTE)

within psychology. Your role will involve: ▫ Conducting literature search ▫ Designing studies and coordinating online data collection ▫ Analyzing data ▫ Writing scientific articles ▫ Contributing

PhD Candidate in Political Science

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

PhD candidate

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

PhD Candidate for Causal Inference

, 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