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, geoinformatics, geoecology or related fields Programming skills (Julia, Python, MATLAB) and ability to work with time series and/or geospatial data Motivation to work at the interface of ML and environmental
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, interpretive analysis) Affinity with real-world applications and openness to working with public or private sector organisations. Demonstrable programming skills, for example, experience in Python or R
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physics or computational data analysis (Python/R/MATLAB, machine learning, or bioinformatics) is highly desirable. Interested candidates should send a CV to michael.chappell@nottingham.ac.uk . Applications
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at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience in remote sensing with satellites Experience in Python, Julia
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of system and data confidentiality and complete any other requirements. Desirable skills: Experience in programming (C, python, or similar). Knowledge in machine learning or distributed systems. How to apply
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learning, data science, atmospheric sciences, geophysics, or related fields. Solid numerical modelling and programming skills (e.g., Python, TensorFlow, scikit learn) are essential, along with a basic
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. Mastery of R and Python is required to execute complex bioinformatics algorithms and statistical models. The applicant exhibits a deep understanding of human immunology and the physiological responses
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multi-disciplinary environment where collaboration is strongly encouraged. We are committed to truly cross-disciplinary science. Further details of research in the Reisner group is at: https
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languages (e.g. Python) Very good command of English (oral and written) Additonal skills and experiences that are advantagous: Experience in ocean dynamics Experience in ocean and/or biogeochemical modelling
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of psychophysiology (i.e. autonomic nervous system measures) using Matlab, Python or similar software tools. You have affinity with, or experience in, virtual reality serious game design and user experience (UX