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applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms
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terrestrial system models, for example using data analysis methods, such as data assimilation, physical- or process-based machine learning, or deep learning algorithms Analysis of the effects of human
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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Required Qualifications: Bachelor's or master's degree in computer science, software engineering, or a related field Proven experience in technical leadership roles on cloud-native or distributed system
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simulation of complex detection systems, data handling and distribution. Good spoken and written knowledge in English and at least basis knowledge in German. Skills in organization and communication. We offer
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institutions, and contribute to advancing knowledge in their respective fields. Program Highlights 1. Duration: Our joint postdoctoral program has a duration of four years, with an equal distribution
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experience with algorithms relevant to computational biology documented programming skills, e.g. in Python and R very good communication and organizational skills with the ability to work to timelines, both
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
CCAMLR. CCAMLR aims to manage this fishery sustainably, relying on ecosystem-based approaches incorporating data on predator population, ecosystem state, and krill biomass and distribution. The krill
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of how hotspots in human and marine mammal presence are distributed in affected areas. Acoustic ship models will furthermore help to understand and gauge the acoustic footprint of ships in various types