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disturbances. This programme of doctoral work will investigate the prevalence of iron deficiency/ iron deficiency anaemia in high performing athletes and assess the effectiveness of a novel oral iron supplement
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integrating advanced vision and language transformers with an Explainable AI (XAI) layer, the project aims to create a robust system for accurate threat identification, providing actionable intelligence
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Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Horizon 2020 Reference Number 101226717 Is the Job related to staff position within a Research Infrastructure? No Offer
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skills as well as be fluent in spoken and written English. Successful candidates will have the opportunity to collaborate with the vibrant Aalto research community, including the Intelligent Robotics group
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and problem-solving skills excellent written and verbal communication skills. If your first language is not English, you will need to meet the minimum English requirements for the programme, IELTS
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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
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2:1 in BSc Chemistry or an MSc in any applied chemistry degree, including inorganic chemistry, chemical physics, analytical methods, simulation and modelling of chemical reactions. English language
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programmes in the first three years, of which will be followed by committing to an industrial placement in the fourth year of this doctoral programme. Supervisors: Entry requirements: Essential: A first or
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in e-learning IT skills, esp. an object-oriented programming language such as C#, Python, or Java Knowledge in: logistics or/and supply chain management or/and transport planning is required Excellent
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potential later start dates.) Supervisors: Professor Gwyneth Davies, Professor Rich Fry (Swansea University) and Professor Jenni Quint (Imperial College, London) Aligned programme of study: PhD in Population