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scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data analysis is an advantage but is not required. We welcome applicants who
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interaction (quantum optics, nonlinear optics, spectroscopy or plasmonics). A background in theoretical chemistry is also welcome. Be proficient in scientific programming (Python or Fortran) and
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with programming, data handling or data acquisition, and basic IT/server infrastructure. have a relevant technical background or experience in electrical engineering, energy systems, automation, IT, or
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. Experience collecting and/or analysing survey, administrative, experimental, and/or geospatial data. Experience programming and testing surveys. Strong interpersonal skills and ability to work as part of a
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and hands-on skills Preferred skills: Good programming skills in C++ or Python Working knowledge of ROS Publication experience Who we are The Artificial Intelligence in Robotics (AiR) group, led by
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(written and spoken) and have documented experience with large-scale health data and advanced epidemiological and statistical methods, including programming skills. Experience with the Nordic nationwide
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programming, e.g. using Python, is expected. Moreover, the candidate should have obtained an excellent academic track record, demonstrated outstanding problem-solving abilities, and good communication
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solid academic foundation in quantitative analysis, system modelling, data science or related methods. Experience with programming and data analysis, preferably using Python or a similar programming
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science, geoscience, physics, engineering or a related discipline. Experience with quantitative data analysis and scientific programming, preferably in Python is required. Experience with
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species distribution models, joint/hierarchical community models, dynamic vegetation models, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and