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parallel. Active participation in other ongoing projects in the lab and clear communication of research findings to both specialized and general audiences are expected. Additional responsibilities include
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doctoral degree can have been completed earlier. Additional requirements: Very good oral and written proficiency in English. Documented proficiency in computer programming. Track record of preparing and
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(thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You will participate in designing the project according to the
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focuses on rationally harnessing and programming the immune system’s ability to perform complex functions. By equipping immune cells with new generations of synthetic receptors, we develop and
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assessment: Quantitative remote sensing, including optical and radar data. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning
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in Python programming for geospatial data processing, modeling, and mining. Publications in high-quality international peer-reviewed journals within a relevant field, especially experience in
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programming environments, especially R or Python; the applicant’s ideas concerning how the OCCPOL data could be developed and used; and motivation to participate actively in a collaborative research project and