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of gravitational wave physics and the LISA mission. Knowledge of python and other programming languages is a strong advantage. Experience of handling large data sets within international collaborations. It is
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diverse cell lines, mouse and human tissues as model system. The postholder will take a strong lead in the project design and management as well as data generation, analyses, and interpretation, participate
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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of the work will be based on the data reduction framework scipp (https://scipp.github.io ). Requirements Applicants must hold a PhD in physics, materials, computational science, or a similar area of science and
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ligands. Your work will involve a variety of target classes, with a focus on DNA repair, inflammation and autoimmunity-related targets. The duties of the position also include reporting and data
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, toxicology, biostatistics, data science, or related topics Experience in statistical analysis Proficiency in managing large data in a systematic fashion Strong skills in R, Stata, or SAS Strong communication
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within academia and with society at large. The position is meritorious for future research duties within academia as well as industry/the public sector. Qualifications PhD degree in Civil Engineering
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will also be interfaced via conceptual models into ecosystem and global-scale models using e.g. LPJ GUESS / EC-Earth. You will be working closely with several researchers and PhD students to extend
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research methodologies and causal inference. Expertise in working with large-scale administrative health data and proficiency in statistical programming (SAS or R) for data management and analysis
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undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. What we offer