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Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI-Camera ...
available from 01 January 2026 or later. You can submit your application via the link under 'how to apply'. Title Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI
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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics
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planning, collecting and analyzing large prospective data sets from observational and intervention studies. You have proven leadership experience in an academic environment. Your strong technical knowledge
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tasks/will do research on the following topics: Software engineering practices for machine learning Tabular machine learning Large language models on structured and semi-structured data PhD Student Role
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, immune, metabolic) · Brain–computer interfaces and neuroengineering · Health big data analytics; advanced intelligent diagnostics/therapeutics Qualifications · M.D., Ph.D., or equivalent, plus postdoctoral
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(prae doc) and will be working in the research group “Data Mining and Machine Learning” at the Faculty of Computer Science. This job advertisement is a completion contract. Your personal sphere
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(prae doc) and will be working in the research group “Data Mining and Machine Learning” at the Faculty of Computer Science. This job advertisement is a completion contract. Your personal sphere
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large scale flow network simulations, machine learning, and methods from topological data analysis, to a broad set of problems. Examples include modeling vertebrate and invertebrate circulatory systems
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epidemiologic, clinical, and molecular research domains is desirable. Prior experience in large cohort or clinical trial data analysis is advantageous. Pay Transparency Statement The hiring range is based
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large-scale NHP research efforts. 2) Implement Advanced Next-Gen Brain-Computer Interfaces (BCIs) Work with other i-BRAIN researchers involved in the development and optimization of next-generation BCIs