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techniques (qRT-PCR, ddPCR, NGS, WB, IHC, IF, cytometry). Analysis of -omics data using bioinformatics tools, preparation of presentations of results and writing of articles. Candidates should have the ability
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, immunological and/or virological techniques. Experience in cell culture and animal models. Skills in bioinformatics. Catalan and Spanish are valued. LanguagesENGLISHLevelGood Research FieldBiological sciences
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, magnetic, electrical, and mechanical functionalities, through processes that promote decarbonization compared to traditional methods. Doping with nanoparticles will be explored to incorporate advanced
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/listPublicacionsAmbCategoria?categoria.id=803896 link to the application process (active during the application period): http://www.ub.edu/caiac/solBeca?idConvocatoria=50325 Where to apply Website http://www.ub.edu/caiac
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in advanced methods for the analysis and classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and
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Institute of the Spanish National Research Council (CSIC) and Pompeu Fabra University (UPF), located in Barcelona. IBE’s research is focused on the processes and mechanisms that generate biodiversity and on
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process Candidates will be evaluated internally. The outcome of the selection process will be announced by email during the first week of October. Additional comments If you are interested in the position
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cycle of footwear — from design to processing, use, reuse, and recycling. Each DC, developing their research skills under the guidance of at least two academic supervisors and an industrial co-promoter
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interpreting DESI data. Developing new tools and techniques for data processing and analysis. Exploring the large-scale distribution of galaxies and its implications for cosmology. This position is ideal for a
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Description Industrial PhD: Application of artificial intelligence and data analytics to the optimization of industrial processes Where to apply E-mail doctorats.industrials.recerca@gencat.cat Requirements