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candidate (DC4) in the European Doctoral Network COMBINE. See https://euraxess.ec.europa.eu/jobs/401249 for the common job offer for all DCs on Euraxess. Within the COMBINE project, a total of 17 PhD
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assimilation, machine learning, and optimization techniques. Experience in student mentoring. Publications in leading journals within the field. Preferred Qualifications PhD in Environmental Modeling. More than
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the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in the Bachelor’s degree must
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numerical methods for quantum many-body systems, (iii) correlated electronic structure theory, (iv) tensor network algorithms. Applications should be submitted by March 1, 2026 for full consideration
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diploma in a biomedical field and/or in quantitative disciplines such as mathematics, computer science, data science, bioinformatics, or related areas. Completed PhD thesis in a biomedical field or in
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-based reconstruction algorithms and image analysis pipelines. These approaches will provide highly efficient high-dimensional MRI image acquisition and reconstruction. We seek an enthusiastic and
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Researcher (R2) Positions PhD Positions Application Deadline 1 Mar 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 16 Mar 2026
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of the advertised position. Specific Requirements Enrollment in a doctoral school or holding a PhD degree in the field of Physics and/or Engineering. A minimum of 1 year of experience in research and development
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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: https://amethis.doctorat.org/amethis-client/prd/consulter/offre/785  ; Funding category: Financement de l'Union européenne Cofund MSCA Horizon Europe PHD Country: France Where to apply Website https