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complex analytical studies, interpreting results, and managing large datasets using statistical programming languages such as SAS, SQL, R, or Python. Experience with data visualization tools such as
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. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM). A pragmatic scientist who combines technical depth with a clear translational, goal‑oriented
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and industrial partners of the project, including Unilever, Shadow Robot Company, Ocado Technology and MathWorks. More details of the project can be found in the following link: https://www.kcl.ac.uk
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(Python, Julia, C++, …) Good analytical skills Good organizational skills and ability to work both independently and collaboratively Effective communication skills and an interest in contributing
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, contribute to research and the development of models for policy and economic analysis in Python and R. Utilize programming skills (including Python, R, and SQL) to compile, clean, organize, and maintain
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approaches in our investigation of encoding and retrieval processes underlying memory performance. Information about all of our research, including ongoing projects, can be found on our lab website at https
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Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python
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/training. Preferred Qualifications: Demonstrated skills (or ability to learn quickly) in any of the following: programming (especially Python), data science, machine learning, and statistics. Previous
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knowledge of the programming languages Python and C++, especially in the context of managing hardware components Preference will be given to candidates with: - experience in developing, installing and
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or Computational Biology or similar. Experience: Experience in bioinformatics, biostatistics, or biocomputing (with verifiable knowledge of R and/or Python programming). We are looking for a candidate with the