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energy; thereby minimising farming’s environmental impact. AI machine learning offers a new expedient method of developing control systems for tasks that would be difficult to manage using classical
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them further with the help of your supervisors’ feedback. You are willing to teach for part of your contractual working hours. You have earned a university bachelor and master degree, or an equivalent
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data analysis to tackle relevant health challenges? Then come and join our lab (headed by Prof. Manuela Schmidt) at the Division of Pharmacology and Toxicology and at the newly established University
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is funded in association with the Lero Research Centre and the Immersive Software Engineering programme. Faculty: Dr. Roisin Lyons - Kemmy Business School; Prof. Chris Exton – CSIS; Dr. Clare
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for a PhD position that combines research in the field of intelligent mission planning and learning-based optimization with real-world applications, in collaboration with Volvo Group. This is an ideal
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to contact Prof. Dr. Paolo Panza by e-mail (Paolo.Panza[at]uni-giessen.de) Our offer to you Integration into an innovative research project Interdisciplinary collaboration with excellent scientists Opportunity
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., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning
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ID: PMP_TRR408_C5 Investigators: Prof. Dr. Allister Loder, TUM Professorship of Mobility Policy, and co-supervised by at least one leading international researcher Requirements
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4-Year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr Andrew Hook Closing Date: 15 July 2025 Overview
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students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading