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of herbicide screening techniques and physiology methods. Knowledge and experience in use of herbicides used for weed control in sorghum is essential Experience in applying basic plant physiology, and
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is situated at the forefront of industrial biotechnology, metabolic engineering and synthetic biology. They focus on the development of standardized, automatable, and generic tools and technologies and
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is situated at the forefront of industrial biotechnology, metabolic engineering and synthetic biology. They focus on the development of standardized, automatable, and generic tools and technologies and
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high
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with physics-informed neural networks, automatic differentiation, neural ODEs, or other physics-aware DL techniques. Skill in programming languages such as Python, C/C++, Go, Rust etc. Ability to model
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methods (LBM). For fluid simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation
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control. Successful candidates should have knowledge in one or more of the following areas: Responsibilities: Environmental microbiology for microbial community analysis, antibiotic-resistant genes and
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in our team. •A strong command of and interest in decision science and/or cognitive neuroscience, evidenced by prior research in this general area published in strong journals. •Excellent verbal and
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regular arrays to probe novel quantum phenomena in strongly interacting quantum systems. The use of molecules is motivated by their rich internal structure, combined with the existence of controllable long
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Council through project 2024-04957 “Compiling General-size Linear Algebra Expressions using Equality Graphs”. The postdoctoral researcher will be part of the High-Performance and Automatic Computing group