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funding calls. REQUIRED PROFILE • PhD in Hydrology, Environmental Science, Remote Sensing, Data Science, Civil Engineering, or a related field. • Strong background in hydrological modelling, time
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an interdisciplinary team blending climate modeling, geochemical process models, and new geochemical data You have strong skills and committment to growth in academic writing We offer This PhD project provides
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, computational sciences. A PhD degree is required. Significant experience with programming, project management, and large-scale model training is a plus. To apply, please send us your application and reference
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and will contribute to key modeling and simulation deliverables for drug candidates across early and late stages of clinical development, spanning multiple therapeutic modalities. The Fellows will
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studies, that are aligned with mentor teams research, ensuring consistency with established methodological approaches and models, adherence to project timelines, and completeness of documentation; write and
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
PhD Studentship Advert Title: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin Supervisors: Prof Ruman Rahman, Dr Stuart Smith, Dr Phoebe McCrorie Project Overview
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together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-source-tracking-f… Requirements Research
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23 Mar 2026 Job Information Organisation/Company University of Valencia Research Field Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 8 Apr 2026
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start: April/May 2026 and will last for four years, which is a standard period of a doctoral programme at FSci USB (https://www.prf.jcu.cz/en/study-at-the-faculty/information-for-phd-students ). salary
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Studies (CCSS), where you will interact with researchers working on a broad range of complex systems. Where to apply Website https://www.academictransfer.com/en/jobs/359824/phd-position-in-statistical-phy