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21 Nov 2025 Job Information Organisation/Company Department of Political Science Research Field Political sciences Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 7
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background or training in psychological or clinical mental health sciences. Teaching is integral to the work of the Institute. We have a large portfolio of master’s level and undergraduate teaching in global
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: Experience with SQL, PySpark, and cloud-based data tools such as Azure Data Lake, Synapse, or Fabric; and strong command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep
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lines of research related to the Singaporean English mental lexicon. The candidate is expected to assist with the development and validation of large-scale psycholinguistic databases and word norms
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environmental epidemiology research team at LSHTM to work on a new UKRI-funded study in the field of climate change and health entitled THERM-UK. This is an exciting opportunity to be part of a large
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analysts and provide strategic bioinformatics support across multidisciplinary projects. The role involves analysing clinical and genomic data from well-characterised epilepsy cohorts, with a focus on
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working at the intersection of econometrics, macroeconometrics, and international economics. Areas of emphasis include: Nowcasting and forecasting using large and diverse data sources Macroeconometric
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for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in
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strong command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep Learning: Experience with PyTorch, TensorFlow, or Hugging Face; embedding models; and model validation
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Job Description The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark