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), interpersonal, and organizational skills. Proficiency with computer aided design and computational modeling software packages (e.g.; SolidWorks, Ansys, Abaqus, Fluent, SimVascular, etc). Preferred Schedule: Full
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nutrient stress. Scaling up laboratory findings from controlled photobioreactors to outdoor semiindustrial raceways while ensuring productivity stability. Modeling hydrodynamics and energy-efficient mixing
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Website https://www.academictransfer.com/en/jobs/356092/phd-on-long-term-monitoring-of-… Requirements Specific Requirements A master’s degree (or an equivalent university degree) in data science, human
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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and physical experimentation complemented and guided by theoretical modelling done by partner PhD in project. The RecyWax+ research team is composed of materials chemists in the Physical Chemistry lab
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, content analysis, and process modeling to map how R&D consortia spend their time, and why they cannot go faster. You will study how they interact with societal stakeholders, and how such interaction affects
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and validation. You will be joining a strong team that works within the following domains: Dynamic turbine response modelling in the multi-body framework HAWC2 Aero-servo-hydro-elastic stability
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-oriented mindset and ability to support various research projects fluent English skills (spoken and written); German skills are an advantage We offer: A challenging and varied role in a dynamic
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employment decision is made. Doctoral degree in remote sensing, geoinformatics, computer science, or a closely related field. You have experience developing and applying deep learning models for Earth
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approach to study the role of climate-sensitive abiotic and biotic stressors on life cycle dynamics in existing and newly developed model species, as well as in natural populations. About the PhD position