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Field
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statistical analyses on large databases Designing and running experiments Structural modelling and related econometrics Proving theoretical results Basic Qualifications Bachelor’s degree by start date (required
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external partners. Topics of particular interest include the novel development and application of machine learning models--such as large language models, multi-modal foundation models, agentic AI, embodied
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systems, mainly plants. The BM^2 Lab is mainly computational and uses ad-hoc developed modeling tools such as MorphoMechanX to provide explanatory and predictive scenarios for developmental problems. We
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, bioengineering, or a related field, and have at least four years of experience working with tuberculosis, including non-human primate models and immunological approaches. Experience working in a Biosafety Level 3
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modeling software (Autocad, Rhino, Revit) - Photo and video editing software (Photoshop, Illustrator, InDesign, Premiere...) - Parametric design software (Grasshopper) Specific Requirements - Se valorará la
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presence in Jönköping. Qulification For this position you need to have: a master degree in relevant subject. proficiency in model-based systems engineering (MBSE) directed towards aerospace applications
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microenvironment, and other biological processes. Conduct preclinical studies using in vivo disease models (cancer, inflammation, organ injury, etc.) and new alternative methodologies (advanced biological models
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on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage data collected from various sources, such as
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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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these systems and accurate and scalable optical performance models will be investigated with the aim to gain critical insight on the most adequate solutions to accommodate future capacity requirements in optical