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Apply now PhD candidate in Statistics and Pharmacometrics We are looking for a motivated PhD candidate to join our division Systems Pharmacology and Pharmacy, LACDR at Leiden University
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immortal time bias) and optimization of related epidemiological analyses. Performing statistical analyses of patient-related factors, including germline DNA variation, in relation to bladder cancer outcome
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candidate under the supervision of Dr Luca Ambrogioni. We carry out research at the frontier of generative modelling using concepts from statistical physics and neuroscience. For example, we have shown
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probabilities Robust stochastic processes Tractable models and decision-making Online/continual learning with evolving data Requirements Specific Requirements Master's degree in Mathematics, Statistics
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, you employ DNA-based techniques to increase understanding of the determinants of PABs. These include Mendelian Randomization using publicly available GWAS summary statistics to test the causality
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weather statistics. During your PhD research, you will explore concepts from complex systems theory and data-driven approaches to multiscale systems to unravel the mesoscale cloud patterns that keep us from
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. Familiarity with the latest techniques in the biology. Background in statistics and data analysis. Programming experience in Python, Matlab, R or similar is ideal. A Track record of publications in peer
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particles to shifts of prevailing cloud regimes in response to changing weather statistics. During your PhD research, you will explore concepts from complex systems theory and data-driven approaches
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immediately before their date of recruitment (1 September 2024). You do not yet hold a doctoral degree. You have good knowledge of statistical methods. You have a good command of written and spoken English and
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Department of IBED. It will involve collaborations with other partners from the Netherlands (e.g. SOVON, CBS Statistics Netherlands, Netherlands Institute of Ecology NIOO-KNAW, University of Tilburg