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., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted in the Department of Microbiome Dynamics of Prof. Gianni Panagiotou of the Leibniz-HKI in
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, R and/or Python. a scientific mindset, inquisitive personality, team player, and the capacity to work independently; In our international working environment, there is an increasing amount
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. At the same time, the high rediscovery rate of antibiotics and limited commercial incentives frustrate antibiotic R&D. The co-occurring problems of AMR and nearly empty discovery pipelines form an impending
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, such as R, Python, or Machine Learning, to identify patterns in biological factors, disease and mortality; co-supervising and mentoring PhD candidates, MSc and BSc students; collaborating with national and
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expertise in forest ecology, disturbance ecology, and landscape ecology, and methodological expertise in harmonizing distinct databases (e.g., forest inventory, remote sensing, land cover), GIS, and R-based
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: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems, instrumentation, and performance measurement. Experience in processing environmental data (Python, R
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programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
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; b) programming skills (experience with SAS, R and/or latent class analysis are particularly desirable); c) content knowledge in obesity, appetitive behaviors, and/or behavioral genetics; d) peer
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experience in quantitative modelling, preferably using R. Is fluent in English (spoken and written) and has good communication skills. Is enthusiastic about developing replicable models to address complex risk
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Stata, R and/or Python. a scientific mindset, inquisitive personality, team player, and the capacity to work independently; In our international working environment, there is an increasing amount