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cardiovascular image analysis, but they are limited by their dependence on large, expert-annotated datasets, covering all cardiac conditions. This makes them unsuitable for identifying rare or complex cases, where
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genetics, and may include expertise in one or more of the following: computational biology, statistical genetics, population genetics, biomedical informatics, complex genetics, clinical genetics
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exploiting the structure of inputs and doing a multivariate complexity analysis. The goal of this project is to develop more efficient parameterized approximation algorithms and preprocessing algorithms (also
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. Daily activities include coding, data analysis, simulation modelling, and collaboration with industry partners. Some travel to manufacturing facilities and conferences may be required. This funded PhD
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 9 hours ago
. Both conditions emerge early in life. Tuberous sclerosis complex (TSC), a genetic disorder caused by mutations in the TSC1 or TSC2 genes, is the leading hereditary cause of ASD. These genes regulate
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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providers, recursively forming complex supply chains that are difficult to analyze. As a result, operators may unknowingly introduce technical, operational, and regulatory risks – especially in critical
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strong interest in animal behaviour and insect ecology. Specific requirements are: Strong analytical and quantitative skills, with the ability to work with complex behavioral datasets Proficiency in
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
between electrolyte-electrode interface structure and selectivity or efficiency of chemical outcome during the preparation of complex and value-added compounds directly from the readily available feedstock
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Multidimensional Omics Data Analysis You will be responsible for Prediction of metabolic activity in complex microbial communities, leveraging