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of processes in intact Amazonian forests and their interactions with the atmosphere in the changing Earth system. Building on insights gained from previous and ongoing observational studies at ATTO, this project
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advanced microstructural characterization (EBSD, EDX, SAXS, TEM) and ex situ/in situ nanoindentation-based techniques (micro-tensile/compression). The insights gained from this investigation will be crucial
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microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights into these complex interactions. As part of this position, you will have the
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opportunity to: Gain important insights into clinically relevant aspects of cancer development and therapy Perform state-of-the-art in vivo experiments and large-scale drug and genetic screens Learn and apply a
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datasets. We are an enthusiastic and international team and offer intensive training and mentoring. Your Tasks: The successful candidate will have the opportunity to: Gain important insights into clinically
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. These tropical semi-arid ecosystems have historically been little-researched, yet they significantly contribute to inter-annual variability in the global carbon cycle. Building on key insights gained from previous
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doctoral studies. Ready for Your Career Get prepared for your career inside or outside academia and gain insights into various professional fields. Build your future network with GRADE. Personal Coaching
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Participation in an exciting consortium project with top-class partner institutions Excellent training, interdisciplinary collaboration, and practical insights in questions regarding negative emission
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established in January 2022. IMPRS-PM educates and trains a new generation of scientists with insight into both physics and medical research. In collaboration with the Friedrich-Alexander University Erlangen
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research areas. New insights and synergetic effects resulting from collaboration between inherently different viewpoints of separate fields typically accompany this endeavour. Our task force on machine