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Field
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Scrum) and modeling of system structures and behavior. Experience with common software development tools, for example Git, IDEs, CI/CD and issue tracking. We offer: A family-friendly and collegial working
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help manage and contribute to our program in ex vivo human cell biology and in vivo rodent models, focused on deciphering the cellular and molecular basis for neurodegenerative diseases, including
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. The researcher will use statistical methods such as multilevel models and multivariate analysis of variance to take into account key variables and covariates to study the impact on students’ outcomes
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tools in heat and mass transfer, microfluidics, thermodynamics, bioengineering, micro/nanotechnology, and computational modeling. We are passionate about developing novel translational platform
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, Large Language Models, Human-Computer Interaction, Virtual reality. The selected candidate will work on the design and implementation of a human-computer interface to support education using an AI-based
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The University Medical Center Göttingen (UMG) unites the Medical Faculty of the Georg-August University and the University Hospital in an integration model. With around 9,700 employees, the UMG and
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position is funded by multiple NIH projects, e.g., https://tinyurl.co m/ysxhmujvThe overall goal is to : (1) develop inference and dynamic prediction models using a wide variety of data, including clinical
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contribute to ongoing cancer risk modelling projects within the Centre for Cancer Genetic Epidemiology (CCGE), based in the Department of Public Health and Primary Care. They should have a strong understanding
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inferential statistics, model testing, and power analysis Desired Qualifications Demonstrated mentoring and teaching ability in the areas of statistical methods and use research-related tools Experience with
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type