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within the Data Science & AI division (DSAI). With 30+ nationalities and strong industry/academic ties, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences
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of the Krycklan Catchment Study (www.slu.se/Krycklan ) are available for the project, which may also draw on data from other experimental catchments and large-sample databases. About the position This work will be
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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track record of industrial and academic collaboration globally and has published a large number of papers on 2D materials in Nature Communications, Advanced Materials, Advanced Functional Materials
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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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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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An opportunity to carry out research at the forefront of human genomics, with cutting-edge methods, large data sets and good resources A creative role combining a high degree of autonomy with mentorship from Dr
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selection models that will be applied in ongoing domestication and plant breeding efforts. You will work with large genotypic and phenotypic datasets and apply biometric approaches on different selection
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solutions that pave the way for a sustainable planet and healthy humans. Research topics span from food chemistry and food technology to molecular and data- driven nutrition (Precision Nutrition). In Food