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following position Postdoctoral researcher (m/f/d) in Environmental Data Science and Machine Learning for the project BoTiKI Location: Görlitz Employment scope: full-time (40 weekly working hours) / part
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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or a related discipline A solid background in climate and atmospheric sciences, and extreme weather ideally supported by knowledge of machine learning and time series analysis is of advantage, as is
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omics, environmental, and chemical data, using machine learning and explainable AI. Depending on your background, interests, and evolving project needs, your work may focus on one of these areas or bridge
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scales. The scientific evidence-based knowledge developed in ISOLUME will be used to develop a roadmap for implementing changing marine lightscapes as an indicator in management policies, monitoring
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or Python Machine learning methods (for the baseline prediction for the reward funds) is beneficial We expect: Strong motivation to contribute to policy-relevant research Strong interest in teamwork and
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public debates and information/service – we contribute to maintaining and increasing sustainable economic prosperity and social participation under constantly changing conditions. Do you want to know more
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Family-friendly working conditions (certificate “audit berufundfamilie”) Supporting of mobility with a jobticket for using the public transport Easy accessibility by public transport or car (including free
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policies, monitoring programmes and essential ocean (biodiversity) variables. ISOLUME is a collaborative effort between IOW and 10 European partners and is supported by the JPI Oceans Changing Marine
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mechanisms in blood cell regeneration at different ages and aims to characterize how stem and progenitor cell fate and function is altered between steady state and inflammatory conditions. We further explore