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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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Type Staff Job Description Who we are We are the ocean campus of Texas A&M University at Galveston. Our employees come from throughout the world, with many different perspectives, talents, lived
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. Our workplace consists of a diverse set of people from different nationalities, backgrounds and fields. As a postdoctoral researcher working with us, you receive the benefits of support in career
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) and cover a wide range of innovative topics, from the development and validation of novel methods, algorithms and EO products to innovative climate research; the development of improved climate data
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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, causing over 17 million deaths per year, with a disproportionally negative impact on racial/ethnic groups that are historically underrepresented in the US healthcare system? Apply now to make a difference
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of Computing Science has been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven research environment. Our workplace consists of a diverse set of people from different
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radar-derived surface soil moisture product using sequential data assimilation for root zone soil moisture mapping at high spatial resolution. Key Responsibilities: Assessment of different land surface
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case is central to this position. SimMobility is based on activity-based mobility modelling theory, simulating agent-level behavior such as route, departure-time, and mode choice within an activity-based