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of the following aspects of quantitative data analysis: experimental research designs, survey design, large/longitudinal datasets - and strong motivation and curiosity to enlarge these skills further • Very good
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. The student will perform ‘big data’ analysis of patient cohorts including time-based evaluation of the impact of introducing CT-FFR as a national health intervention into a healthcare system. Exploratory
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ecosystems. They will combine their own field observations in the European Alps and the Arctic with a novel microclimatic dataset and a large Europe-wide database comprising re-surveys of historical vegetation
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, including: Genomic technologies – hands-on experience in long-read sequencing and variant interpretation Bioinformatics – pipeline development, visualisation, and statistical modelling PRS – applying big data
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 11 days ago
architecture of important crop traits like grain yield heterosis. In the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck
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proteins in the mixture together define the key properties of these systems. Predicting these properties by only studying their components might seem impossible... but that is what we aim to do in the Big
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information about the role, please contact Prof. Radu State Your profile Strong background in AI, machine learning, or multi-agent systems, ideally with interest in financial systems, decentralized ledgers
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afraid of combining neurobiology and chemistry. You have good statistical skills and experience with analyzing big data (e.g. RNA-seq, spatial transcriptomics). You like to work in a diverse setting and
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-WISE NEST project. This position will be with the Division of Artificial Intelligence and Integrated Computer Systems (co-PI: Prof Fredrik Heintz). We will strive for a tight collaboration between the
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. The SHIELT project is in collaboration with Wageningen Food Biobased Research (WFBR) and various industrial partners. Your duties and responsibilities include: use experimental and literature data to develop