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Field
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projects of the research group Qualification Required: A diploma and a PhD in microbial natural product chemistry Hands-on experience and a strong understanding of metabolomics/dereplication of natural
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skills further, there is also the opportunity to aid in the planning, organization, and running of lectures. Required training, skills, and background • PhD degree in bio/medical engineering, materials
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research collaborations with colleagues at the institute. Additionally, we expect postdocs to teach one course per semester. What we expect from you: An excellent PhD in Psychology, Education Sciences
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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, behavioral, experimental and/or applied microeconomics or other related fields, and you have completed your PhD by job start or are close to completing it. You have already proven your relevant knowledge and
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven
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degree and PhD degree in meteorology, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods excellent knowledge in UNIX/Linux and Unix
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
newly created PhD position" (75% E13 TV-L). The team will also include a technical staff member responsible for maintaining the TüDiLab and assisting with empirical studies - A modern and well-equipped
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consortium-based tasks related to the 6G-Life project. Additionally, the methods and findings developed throughout the PhD track will be scalable and applicable to other research projects in MIRMI