12 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" PhD positions at Center for Biological Research "Margarita Salas" CSIC
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Inflammunosenescence and Aging at the Mittelbrunn Lab (https://mmittelbrunnlab.cbm.uam.es ). Located in Madrid, a vibrant and cosmopolitan city known for its great quality of life, rich culture, this position offers a
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biofoundries, fostering sustainable industrial biotechnology across the bioeconomy sectors. The lab combines synthetic biology, machine learning, and biosensor and pathway dynamic regulation design to produce
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. Pablo Carbonell, creates innovative solutions for automated biofoundries, fostering sustainable industrial biotechnology across the bioeconomy sectors. The lab combines synthetic biology, machine learning
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9 Jan 2026 Job Information Organisation/Company Consejo Superior de Investigaciones Cientificas Department Centre for Automation and Robotics (CAR) Research Field Engineering Researcher Profile
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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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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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written by humans and large language models. Months 5-6. Development of green algorithms for syntactic analysis of natural language using HPSG grammars Where to apply Website https://sede.udc.gal/services
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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