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Primary Supervisor: Dr Zoja Vukmanovic Scientific background: Layered intrusions represent natural laboratories frozen in time that provide us an opportunity to study how magma cools and
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determining the drivers of these changes from the oceanographic data and model experiments as well as satellite and reanalysis products. Training: You will develop skills in chemical analysis, data processing
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For international students – English language qualifications (check here). Please note: if the candidate has studied for a masters degree in the UK they will need their certificate for their visa application
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intensifying upper ocean mixing processes. However, major gaps in our understanding remain due to challenges in observing and modelling the Arctic Ocean. Research Methodology The aim of this project is to
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or because of changes in nutrient conditions. However, the exact nature of mechanistic link between enhanced freshwater flux and biological productivity, and the impacts on carbon export and
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equivalent), although this is not compulsory. Meet academic eligibility criteria (inc. English language), if you are an international student Nationality restrictions This funding is available to all
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production-grade system that integrates Vision Transformers for visual deepfakes, advanced Natural Language Processing (NLP) models for phishing detection, and a dedicated Explainable AI (XAI) layer
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The successful candidates should preferably have a master’s degree in chemistry, or chemical-, process-, energy- engineering or related fields. Fluent written and verbal communication skills in English are
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, are a bonus. Ability to work both independently and as a part of an international and multidisciplinary research group. Interest in experimental condensed matter physics. Excellent command of English. The
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tools is considered as an advantage Understanding of building design, structures, and material in the Finnish context Capability for working with Building Information Models Fluent English is a must