Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
-
at (i) optimizing grain legume cropping among other via inoculants and nutrient supply, (ii) improving the mechanistic understanding of grain legume physiology and resistance to stresses, (iii
-
will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
-
available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
-
Assistant Professor in Electrical Energy Technology, Department of Electrical and Computer Engine...
-forming converters, high-power rectifiers for electrolysis, and advanced control of converter-dominated systems. Modeling, control, and optimization of consumer systems and their interaction with the power
-
-forming converters, high-power rectifiers for electrolysis, and advanced control of converter-dominated systems. Modeling, control, and optimization of consumer systems and their interaction with the power
-
of the required technology and culture procedures: Stereolithographic 3D printing of complex microfluidic networks in hydrogel materials. Optimizing the hydrogel composition to maximize diffusional transport
-
and kinetic modelling Expression, purification, and characterization of enzymes from fungal and bacterial sources Development and optimization of enzyme assays Structure–function studies of enzymes
-
academic partners in Europe and globally. Candidates with the following qualifications will be preferred: Educational background in power systems. Documented knowledge in optimization in power and energy
-
parameters by trial-and-error, leading to a time consuming sub-optimal selection. In the domain of high precision machining, tools are prematurely discarded to avoid the risk of costly non-conformities