927 evolution-"https:"-"https:"-"https:"-"https:"-"UNIVERSITY-OF-MACAU" PhD positions
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parameter modelling (e.g., deriving parameters such as snow wetness or snow density from drone-recorded snow depth data). The method development will aim to produce snow data products especially tailored
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provided -Excellent English Willingness to relocate to Brno WHAT WE OFFER A supportive, lively research environment with international collaboration Career development support (publishing support, conference
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(human geography, sociology, environmental social science, development studies, etc), sustainability science, or related fields demonstrate expertise in qualitative research methods demonstrate ability
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(Berlin) in a close partnership with the Forschungszentrum Jülich, contributing to algorithm development, computational tool implementation, and validation with experimental partners (TU Graz and
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development, biomass availability, and sector coupling is experiencing significant growth. The group combines techno-economic modelling, system optimization, and infrastructure planning to address real-world
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-derived physiological data (e.g., activity, heart rate, temperature) with endocrine test outcomes to identify diagnostic patterns Contribute to multimodal datasets feeding into the broader development
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-term coevolution experiments to study the evolution of metabolic cooperation Generate and characterize bacterial mutants Perform coculture experiments with different bacterial strains to determine
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variable and can be hard to predict. Therefore, wind power is exposed to both variations in electricity prices and balancing prices. In the later years, there has been an ongoing development in the European
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for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU
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year before the position expires, you will be offered an interview to clarify your future career. The PhD research will focus on the development of AI models for analysis of prehospital ECGs, with