172 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " PhD positions in Denmark
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. Benefits and salary The successful candidates will receive an attractive salary in accordance with the MSCA regulations for Early-Stage Researchers (http://ec.europa.eu/research/mariecurieactions
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development. Learn more about AAU Energy at www.energy.aau.dk . How to apply Your application must include the following: Application, stating reasons for applying and qualifications in relation to the position
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problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control
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parts of the population make sense of climate politics. More information on the project is found here: https://demokratiskbaeredygtighed.dk/da/projekt/backlash-social-ulighed-og-demokratisk-baeredygtighed
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on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates are expected to be held in February 2026 Questions
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enjoy working analytically with quantitative data, approaching research questions thoughtfully, and learning new methods and theories. You can work independently while contributing actively to a
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
can read more about Center for Visualizing Catalytic Processes (VISION) at https://vision.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU
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, machine learning tools, and simulation techniques. If you thrive at the intersection of engineering, data, and advanced computational science, this position will allow you to contribute meaningfully
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data in any area of finance, such as asset pricing, machine learning, ESG investing, how social networks affect finance, research replicability, regulatory data in finance, financial institutions, and
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robotic research platform and an automated ‘Device Doctor’ for perovskite solar cells. The goal is to combine high-throughput experimentation, machine learning, and advanced modeling to accelerate device