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contribute to the design and development of Machine Vision approaches for the quantitative analysis and phenotyping of agricultural systems: Training/Development of computational models for the quantitative
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of preclinical models. Collaborate with other projects of the group, by promoting fruitful discussions or by helping in experimental work Participate in general activities of the group Support the principal
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models of society and their resilience. Since 2019, SCRIPTS has been funded by the German Research Foundation (DFG) under Germany’s Excellence Strategy (Exzellenzstrategie) initiated by the federal and
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modeling, environmental simulations, and digital twin systems. -Develop analytical tools, visualization platforms, and decision-support dashboards to improve research outcomes. -Ensure data quality through
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will contribute to projects focused on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage
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students’ academic and mental health outcomes. Job responsibilities include: Conducting descriptive and advanced statistical analyses (including multilevel modeling) on extant and merged datasets using SAS
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well as emerging materials. These experimental techniques will be complemented by advanced electromagnetic modelling. Responsibilities and qualifications The ideal candidate will possess demonstrated expertise in
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for Bioengineering of Catalonia (IBEC) is seeking a highly motivated Pre-doctoral Researcher to join an exciting PhD project focused on modeling human tauopathies. The successful candidate will work with mouse models
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learning models that can be utilised by health services to make real-time, data-informed clinical decisions in youth mental health care. Your key responsibilities will be to: recruiting study participants
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data science methods to build explainable and integrated machine learning models that can be utilised by health services to make real-time, data-informed clinical decisions in youth mental health care