66 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD scholarships at Nature Careers
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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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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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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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. 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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(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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applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing
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websites. Application Process Applications for both programs must be submitted online by January 14, 2026: https://www.uni-goettingen.de/de/application/556704.html Applicants will be asked to upload a CV
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. An individual career development plan containing research and transferable courses, international research visits, mentoring and career activities, is also a central element. Please visit https://www.interact
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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
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(https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html ). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System Modelling Framework. The objective