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Minimum Education and Experience: PhD in economics or a social science field; knowledge of employee ownership models. Demonstrated experience in quantitative research. Strong writing and communication
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and interdisciplinary research environment. Details about the project: https://projekty.ncn.gov.pl/opisy/590787-en.pdf About the group: The Computational Genomics Group at IPC PAS is led by dr Marcin
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 18 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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to advanced facilities and real-world validation during your PhD. If this excites you and you want to make a real impact, join our PhD team at USN and help shape the future of offshore wind. We are looking
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) Positions PhD Positions Application Deadline 30 Apr 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research
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Jie Deng from Universitat Ramon Llull (Spain). The PhD diploma will be delivered by INSA Lyon. Website for additional job details https://gofast.insa-lyon.fr/node/2174973 Work Location(s) Number
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inquiries, please contact hrtkd@oslomet.no Deadline for application: May 4th, 2026 Ref: 26/06383 Where to apply Website https://academicpositions.com/ad/oslo-metropolitan-university/2026/phd-fellow-i
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) degree before starting the PhD Knowledge of optics and nonlinear optics Practical knowledge of ray-tracing methods and Zemax OpticStudio Practical experience with pulsed lasers and building optical setups
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contingent upon prior authorization from the competent authority of the Ministry of Higher Education and Research. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8181-ANDKHO-014/Default.aspx
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generalization, and remain compatible with downstream MF inference and uncertainty quantification. Building on learned representations, the PhD will develop MF surrogate models that fuse low- and high-fidelity