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. Initial analysis suggests recurrent selection of divergent types in multiple locations. The aim of this role is to complete this analysis and prepare a manuscript for submission for publication
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research experience in state-of-the-art hydrogeophysical methods, hydrological modelling, soil flux analysis, and be able to work in an international team with world-leading scientists. The PhD student will
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discipline Solid wet-lab experience in molecular biology, ideally with tissue or protein work Motivation to develop bioinformatics and data analysis skills (training provided) Proficiency in English (spoken
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team
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the MET office. The student could choose to develop these connections to understand resident experience and behaviours, identify the current barriers and facilitators, to inform adaption measures
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and image analysis. Programming skills in Python and ImageJ are advantageous. Interest in interdisciplinary and international teamwork. Excellent written and spoken English. Our Offer: We work on the
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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Your Job: You will work in the Electrocatalytic Interface Engineering department, which is headed by Prof. Dr.-Ing. Simon Thiele. The department focuses on the fabrication, analysis and simulation
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-funded Swansea University Research Excellence Scholarship (SURES) for a full-time doctoral student commencing in October 2025. Investigating functional genomic and multi-omic data analysis and integration
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disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with