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multivariate systems during extreme events like floods, heatwaves, or financial crashes. This PhD position offers a combination of theoretical research and the implementation of new statistical methodology and
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Your position Despite the success of EBV-specific T-cell therapies in selected malignancies, therapeutic efficacy remains limited in tumors expressing only a restricted repertoire of viral antigens. This project aims to identify novel tumor-reactive T-cell receptors (TCRs) that can be translated...
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04.08.2026, Academic staff Fully funded PhD position (TV-L E13) at the Technical University of Munich (TUM) in Generative AI for Automotive Software Engineering. The project focuses on LLMs, VLMs
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Sign In Create Profile Psychometrician, Office of Assessment and Evaluation (PhD) (Phoenix) Phoenix, AZ, United States | req26602 Apply Now Share Save Job Posted on: 7/23/2026 Back to Search
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In this project, we develop a new mathematical framework to efficiently model multivariate systems during extreme events like floods, heatwaves, or financial crashes. This PhD position offers a
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Primary supervisor - Dr Abdi Jalebi Salman Reliability is critical to the continued expansion of wind power, particularly for offshore installations, which already contribute around 10-15% of the UK’s electricity and are central to achieving net-zero targets and ensuring the resilience of...
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Degree PhD Course location Göttingen Teaching language English Languages The PhD thesis can be written in English or German (with English being the standard). Full-time / part-time full-time
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are looking for a motivated and talented PhD candidate to join a unique interdisciplinary project at the intersection of machine learning and formal methods. Information Machine learning models deployed in real
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- €4051 gross per month, from the first year to the fourth year based on a fulltime contract (38 hours), plus 8% holiday allowance and an end-of-year bonus of 8.3%. As a PhD candidate you will be enrolled
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A PhD studentship is available for commencement October 2026 – January 2027 as part of the first Cohort of a new EPSRC Centre for Doctoral Training in UK Semiconductor Industry Future Skills* led by