11 parallel-processing PhD research jobs in Ireland-University-Ranking-2024 in Germany
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coastal sediments and their role in polar biogeochemical processes. Your main responsibilities will include: Sampling and geochemical analysis of Antarctic sediment samples Incubation experiments and stable
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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
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Kuemmeth (University of Regensburg, Germany). Projects include the development and operation of spin qubit processors, the exploration of coherent Andreev bound states in hybrid quantum dots, and the study
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, Processing: In this research area, we investigate how to establish new key processes to make the most of the impure raw materials sourced from the Martian atmosphere and regolith to flexibly and efficiently
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, democratic and justice-related outcomes. Causal process tracing: You will conduct in-depth qualitative process tracing on selected cases to uncover causal mechanisms through which PP influences outcomes
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Regulation (GDPR) regarding the collection and processing of personal data in connection with your application. By submitting your application, you confirm that you have read and understood TUM’s privacy
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to national and European grant processes (WEAVE, NWO, DAAD, Interreg, ERA4Health) Payment in accordance with collective bargaining agreements, and 30 days annual leave A family-friendly environment with
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Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing
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on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with