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2007. At all of these sites, most ecosystem carbon fluxes of the canopy, stems, soil and roots have been regularly monitored, generating detailed carbon cycle time series for ~5 years from
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-year fellowship in Artificial Intelligence (AI) driven plant genomics. The project focuses on generating new AI-driven method for identification, annotation and functional investigation of long non
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oriented university The opportunity to investigate state-of-the-art topics in human-AI communication and contribute to advancing the field The possibility to continue your academic career within
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the case, then the problem is further complicated by the fact that no single mapping is optimal for all combinations of matrix sizes. As a consequence, any code generated (at compile-time) to evaluate
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microwave cavities We seek candidates with the following qualifications: PhD in Physics or neighbouring fields Excellent communication skills in written and spoken English Ability to program in high-level
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leading researchers in Sweden and Italy ✅ Contribute to next-gen neural interfaces with real-world impact ✅ Be part of a collaborative, inclusive, and interdisciplinary environment We’re looking for a
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skills and a proven ability to lead and complete research projects. Excellent written and oral communication skills are required. Experience, and knowledge of modeling aquatic metabolism using dissolved
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-lab methods to profile RNA fragments from environmental samples. The methods will cover both next-generation sequencing-based methods but also targeted approaches such as qPCR and rolling circle
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, biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and researchers. When you have completed the AMBER programme you will be extraordinarily
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specifically, the position will involve dense research activities in the area of designing, experimenting and theoretical development with the following combined research areas linked with National, European and