32 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD scholarships at Aalborg University
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. Mathematical skills: Competence in mathematical modeling of dynamic systems and probabilistic frameworks. Experience with machine learning or AI methods for localization or perception (e.g. learning-based SLAM
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on the development of AI models for analysis of cardiac CT scans, with the aim to explore how machine learning models can quantify cardiovascular disease and predict future events from CT scans. The project will
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properties through computer simulations. The project also includes validation of materials in the lab and translating the findings into practical recommendations for use in real power-electronics environments
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design and laboratory experimentation, you will first explore a broad range of sodium-oxide glass compositions using advanced computer models to predict how well ions can move through them. Based
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for a curious and engaged colleague with a genuine interest in the research topic. You enjoy working analytically with quantitative data, approaching research questions thoughtfully, and learning new
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collaborative environment that supports innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk . How to apply Your application must include the following
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on Problem Based Learning, with projects making up half the teaching at all semesters. Your competencies A relevant educational background within biology or a similar area is required. We seek a candidate with
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ecology, biology, microbiology, bioinformatics, or a closely related field is an advantage. Excellent oral and written English language skills are a requirement. Previous experience in computer programming
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and workshop facilities, and a collaborative environment that supports innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your
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languages such as MATLAB or Python is necessary as well as excellent communication skills in English. Candidates with sufficient proficiency in Danish to teach at the Bachelor programme are preferred