10 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD scholarships at Center for Biological Research "Margarita Salas" CSIC
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pathology. PI: Margarita Martín Andorrà https://www.ub.edu/portal/web/dp-biomedicalsciences/immunobiologia-rece… Where to apply E-mail martin_andorra@ub.edu Requirements Research FieldBiological sciences
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technical support to junior researchers and trainees. Where to apply Website https://jobrxiv.org/job/cancer-research-foundation-of-the-university-of-salaman… Requirements Additional Information Work Location
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combines synthetic biology, machine learning, and biosensor and pathway dynamic regulation design to produce next-generation bio-based chemicals. The Computational Synthetic Biology group (CSBG), led by Dr
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radiation. PMOD is traditionally widely involved in all communities focused on chemistry-climate modelling, monitoring of ozone and atmospheric radiation, and solar physics. (https://www.pmodwrc.ch/ ) Task
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to apply Website https://recruitment.icmab.es/job-list/phd-position-development-of-nanomaterials… Requirements Research FieldChemistryEducation LevelMaster Degree or equivalent Skills/Qualifications
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Villalobos) and Consortium partners (https://cordis.europa.eu/project/id/101227645 ). Our focus is to guide innovation at an early stage by assessing the benefits (society, economic and environmental
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research activity of the group on nanostructured superconductors for applications in quantum technologies (SuperQMat group, https://icmab.es/superconducting/superqmat ) The position is in the framework
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perform specialized fabrication and experimental tasks and develop a deep understanding of the theoretical framework and modeling tools. This will require communication skills, capacity to learn, and
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immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore
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, molecular biology, or related disciplines FELASA certification Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply