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Field
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methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems
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available in the further tabs (e.g. “Application requirements”). Objective A cooperation agreement on the joint training and education of PhD students has existed between the Chinese Academy of Sciences (CAS
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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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of healthcare, science, technology, society, and the environment. Our mission encompasses both theoretical and empirical methods to foster ethical, transparent, and interdisciplinary research, education and
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, collaborate closely with geneticists, breeders and industry partners and publish your results in high-impact journals. You supervise MSc/PhD students and contribute to new grant proposals. Your qualifications
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for linking basic and applied research, located in central Tuebingen The opportunity to establish your own junior research group, including a newly created PhD position (75% E13 TV-L). The team will also
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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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The Professorship of Public Policy for the Green Transition (PPGT) focuses on designing and evaluating policies for the green transition worldwide. The group uses a variety of methods from automated data analyses
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Your Profile: Very good university degree (Master) in the fields of chemical engineering, process engineering, chemistry, material science or a comparable discipline with PhD Broad expertise and the
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/ research stays, and/or presentations at international conferences; Proven experience in quantitative and/or qualitative social-science methods; Willingness and ability to further PRIF’s research agenda