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challenges, and we are currently moving the code to a new python based High Performance Computing enabled modelling framework. This is an exciting opportunity to contribute to a high-impact scientific codebase
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description You will join an excellent team and collaborate with a diverse group of people working in the field of Robotics and AI. Duties Software-focused Translate existing MATLAB code to Python/C++. Develop
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of projects could also be included. Work can include, but is not limited to, development of pipelines in Nextflow or Snakemake, scripting in Python and/or R, and running large-scale analyses efficiently in HPC
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in integrative multi-omics as needed. The person we need The person we need have/is: • Strong programming skills, with proficiency in high-performance languages such as C, C++, or Python. • Familiarity
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science The holder of the position must be able to communicate in English Meriting: Skills in programming in Python Knowledge about life cycle assessment or future scenarios Knowledge about the Swedish
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, LabView or Python). Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through his or her experience and skills, is deemed to have the abilities
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skills, preferably Python Knowledge of machine learning Willingness to work on a cross-disciplinary project. *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted
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., Computer Science, Cognitive Science, Human Computer Interaction, Human Robot Interaction or Artificial Intelligence. experience in programming, preferably Python. fluent in spoken and written English. It is
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learning, and control is essential. Applicants should also demonstrate: High academic achievement in relevant undergraduate and graduate courses Proficiency in programming (C/C++, Python) and experience with
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. Qualifications are preferably exemplified in the application. Required qualifications: Solid insights in marine ecology Programming skills in Fortran, Python and R Demonstrated skills in statistical analyses and