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-motivated, pro-active, team- and goal-oriented personality Excellent communication skills, including fluency in spoken and written English Preferred Qualifications: Skills in computational protein structure
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. Essential: Experience in sample preparation for cryoET studies and acquisition and analysis of cryo-EM data Knowledge of bioinformatics tools and data mining Good communication skills in English (oral/written
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
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), or a related field; • Strong programming skills; • Data analysis and interpretation experience that is guided by theoretical/physical understanding and not only by application of statistical methods
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interest, and preferably very knowledgeable, in marine ecology Strong publication record in high-ranking journals Very good skills in scientific programming and related analyzing tools (e.g., R, Phyton
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welcome creative thinking and new ideas. Support for international researchers and their families, including Relocation Service and an Expat Partner Programme Living and working in Denmark Subsidised
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
Master's and PhD students. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition
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applications Good analytical and (bio)statistical skills Knowledge of relevant programming languages such as Java, Python, and Perl Good knowledge of relational and document-oriented database design (e.g., MySQL
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are described here . Research Environment The University of Konstanz has been successful in the German Excellence Initiative and its follow-up programme, the Excellence Strategy and is among the most highly
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novel machine-learning methodologies Excellent programming skills in Python and familiarity with modern ML tooling and reproducible research practices Experience training and deploying machine-learning