Sort by
Refine Your Search
-
economic impact of optimized cooling solutions and refrigerated supply chain solutions. Your tasks The priorities of the tasks will be flexibly decided depending on the concrete opportunities at hand after
-
Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic record and a robust mathematical foundation. While research experience is advantageous for PhD...
-
include low energy-consuming electric-field-controllable non-volatile memory elements with high information density. The recent progress in controlling the electrostatic and elastic boundary conditions in
-
analysis. Experience in formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral communication skills in German are desirable
-
also recognizes the unequal capacities and risks involved, highlighting the “cruel” ascriptions to optimism and the potentially devastating consequences of aspiration. ASPIRA's approach identifying
-
) project, we are looking for a motivated and experienced PhD candidate to perform consumer flexibility aware planning of multi-energy districts. A particular focus lies on the modelling and optimization
-
triggered with local wound relevant stimuli such as pH and temperature. Investigate controlled release of active biomolecules from the hydrogel systems and the resulting antimicrobial and antioxidant
-
chemical and physical surface functionalization. The goal of the PhD project is to investigate how enzymes can be encapsulated in biocomposites to control both the assembly or crosslinking of biopolymers as
-
for integrated carbon capture and conversion technologies. Your tasks Synthesize and characterize materials for heterogeneous catalysis applications Develop synthesis-structure-properties relationships to optimize
-
. Your tasks The PhD research will be entailing an international recurrence case study and focuses on applying and optimizing 3D X-ray virtual histology methods by micro-CT for recurring thyroid tumors