85 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" PhD positions at Nature Careers
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-species interaction in gas–liquid bioreactor platforms. Deliver scientific excellence through high-impact publications, dissemination and outreach. Teach and develop courses at BSc and MSc levels in
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for immobilizing these ions. Modern methods of theoretical chemistry (first principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion phenomena and link speciation with
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-year contract starting September/October 2026 https://www.eu4greenfielddata.eu/ APPLICATIONS OPEN ON Juanary 5th 2026 Are you an aspiring researcher ready to drive the digital and green transition in
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will involve three short visits to partner laboratories to learn cell delivery methods, immunologic characterization of cells and tissues, live cell tracking, and multi-omics data analysis methods. As a
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vision here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet The Ph.D. candidate will be part of the Pharmacy section: https://www.sdu.dk/da/forskning/farmaci-sektionen
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Biotechnology (https://www.sciencedirect.com/science/article/abs/pii/S0958166923000770?via%3Dihub ). Your responsibilities: You will develop and investigate fermentation processes with heavily reduced CO2
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(XRD) to characterize, at the molecular level, smectite samples from various Swedish mineral deposits. The PhD student will be part of a research group active in the area of molecular geochemistry (http
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mentorship. Application deadline: 27h of February 2026 at 23:59 hours local Danish time Please see the full call, including how to apply, on https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI
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. Benefits and salary The successful candidates will receive an attractive salary in accordance with the MSCA regulations for Early-Stage Researchers (http://ec.europa.eu/research/mariecurieactions
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within