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spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological questions Personal attributes: Strong
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physiology, behavioral assessment, transcriptomics, and bioinformatics are advantageous for the position. Analytical skills and good knowledge about research methods relevant to the proposed project. It is
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qualitative research methods is required. The project language is English and the applicants should have an excellent command of the English language, written and spoken. Applicants must be able to work
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recyclable. High-temperature gasification is a promising method for recycling these mixed wastes. By subjecting the plastics to temperatures of 800°C, the organic structure of the plastic is atomized
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. The project description is a key element in evaluating the applicants. It is also highly important that the project is feasible within the nominal length of study, which is three years full time, with ½ year
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(3 years) to work in this research field. In this project, advanced genomic methods will be employed to investigate an emerging zoonosis caused by anisakid nematode parasites. The first task will
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in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python, or similar programming languages (or strong skills in another statistics software) Knowledge about
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, tasks have a continuous evolution, and the precedence graph becomes dynamic. There is an initial method proposed in the literature, where a static model is proposed, introducing two states of products
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construction of optical diffraction tomography or quantitative phase microscopy systems. Experience in the development of fluorescence-based super-resolution microscopy methods such as structured illumination
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starting the PhD). The candidate must be qualified for admission to the ph.d. program Strong background in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python