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aims to reduce energy consumption in our faculty through development and implementation of AI in energy management. This project revolves around interdisciplinary collaboration among researchers from
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'industry 4.0 models' that provide both economic and environmental predictions and that may be adopted by companies. The second project aims to reduce energy consumption in our faculty through development and
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experience with any of the following: single-cell RNA-sequencing, epigenomics, proteomics, bioinformatics analysis of large datasets, the biology of Plasmodium (gametocytes). We are This project will mainly
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attitude. You have creative thinking skills and a high degree of independence. You have preferably experience with any of the following: single-cell RNA-sequencing, epigenomics, proteomics, bioinformatics
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: Experience with RNA biology and associated methods (i.e. PAR-CLIP, m6A profiling, etc). Experience with mammalian cell culturing. Experience with bioinformatics analysis of large (proteomics, genomics, and
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on neurogenerative diseases. Recently, we developed a model for integration of several omics datasets measured in cell lines using latent variable models. You will build upon this work to include omics