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(or equivalent) in Computer Science, Statistics, Ecology, Biology or Forestry. · Documented experience with application of deep learning and advanced statistical analysis and programming (e.g., R or Python
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R and/or python. Familiarity with biodiversity assessments, aquatic ecology, boreal forest ecology, and forest management. Ability to work both independently and in collaborative teams. Field work
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4-year Bachelor’s degree is accepted. The following experience will strengthen your application: Knowledge in atmospheric science, radiative transfer and remote sensing. Proficiency in Python and deep
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experimental experience in immuno-oncology Practical experience of bioinformatics and programming (e.g. in Python and/or R) Practical experience of multiplex flow cytometry and cell sorting Practical experience
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-level languages such as Python or C *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. The following experience will strengthen your application: Experience
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Biology; Computational Biology; Mathematics; or related fields. You are experienced and comfortable with running computational biology analysis on e.g. Python, MATLAB, and/or R. You are curious, motivated
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control systems and process analysis software (e.g., LabVIEW, Matlab, Python) Selection: The basic factor for selection among qualified applicants is the ability to profit from such a program. For more
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networks Scientific programming for simulation, data analysis, and reproducible workflows (e.g., Python/Julia/Matlab/C++) Machine-learning–inspired methods for reservoir/neuromorphic computing and
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programming skills (C++, Python, or similar). Ability to work independently and manage complex technical tasks. Creative and solution-oriented mindset; ability to bring new ideas to scientific problems. Strong
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to be able to independently develop scientific concepts and methods, be competent in coding with Python and Matlab at least, and be fluent in both speaking and writing in English. The EU Mobility Rule