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convolutional neural networks (CNNs) and large language models (LLMs) to analyze retinal and corneal data including visual fields, fundus photographs, optical coherence tomography (OCT) images and genetics data
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Area of research: Scientific / postdoctoral posts Job description: Postdoc for "Large-Eddy Simulations of Arctic air-mass transformations" (m/f/d) Background The Arctic climate is shaped by
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microscopy data analysis, chemometrics, and machine learning. This position is ideal for a researcher who enjoys working at the interface of imaging, data science, and environmental monitoring. The project
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generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information and deliver a new class of research that will enable a better understanding of the clinical
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huge data storage capacity to accelerate the research performed in intensive computing and large-scale data analytics (Big Data). This characteristic distinguishes the HPC center at the university from
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, behaving non-human primates to understand the neuronal mechanisms underlying visual attention. The position entails collecting and analyzing large datasets, writing manuscripts, and applying for grants both
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member of the larger team and for independent funding. Thus, we welcome applicants with experience in large volume serial electron microscopy (connectomics), synchrotron source X-ray imaging of brains in
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cohorts. Duties The project combines single-cell, multi-omics data with large scale human genetics to investigate the cellular origin of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD
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funding programme Horizon Europe. Data4Healthcare - From Big data to new science and practical solutions – is a novel postdoctoral programme hosted at an international and multidisciplinary research
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ability to quantify and model these processes remains limited, contributing to uncertainties in global carbon sink estimates. You will analyze data and samples from past and upcoming expeditions to evaluate