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(mammalian cell cultures) and whole tissue level (preclinical cancer models). Main Tasks and responsibilities: The PhD candidate researcher will focus primarily on laboratory-based experimental work in the
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actively help in shaping the change! We offer ideal conditions for you to complete your doctoral degree: Supervision and support by highly qualified scientists at PGI-12 und IET-3 Possibility for a doctorate
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constitutive models to describe it. In this project, you will: • Experimentally characterize ply-ply and tool-ply friction under a variety of processing conditions using our novel improved in-house
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socioeconomic conditions farmers benefit from regenerative practices (by improved soil fertility, yields and/or income) and related environmental impacts (for example changes in soil carbon and/or reduced
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of systems. We develop methods to advance sustainable energy and chemical process systems from the molecular to the scale of the systems. Our work combines process analysis and system modeling to design
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cycling in farmers’ fields. This PhD position will explore how and under which biophysical and socioeconomic conditions farmers benefit from regenerative practices (by improved soil fertility, yields and/or
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together complementary expertise. Objectives of the PhD - Define the sizing and operating conditions of the expansion machine to optimize coupling with the linear alternator, using a dedicated simulation
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of core web technologies. You have solid experience in Python and JavaScript programming languages. You preferably have experience with building and using machine learning models. You care deeply about
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sciences, particularly in the domain of numerical weather prediction. On the one hand, state-of-the-art models such as GraphCast have demonstrated outstanding predictive skill. On the other hand, physics
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, architecture, mechanics, and function. The work will involve generating gene-targeted mouse models and characterizing them through histological, biochemical, and molecular analyses. Successful completion