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forward to receiving your application! Your work assignments The project focuses on the development and optimization of electrocatalysts and electrolyzer systems for sustainable energy conversion
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sustainable future, including but not limited to, studies related to new technologies, process integration and policy measures, as well as overall energy system aspects at local, national and supranational
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of software infrastructure to optimize data workflows Developing analytical methods to integrate different types of sequencing-based DNA data. Developing computational models for prognosis and treatment
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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
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to industrial processes—yet remains difficult to harvest efficiently with existing technologies. HEAT-BRIDGE addresses this challenge by bringing together ionic thermoelectrics, electrochemistry, mixed ionic
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—from the human body and electronics to industrial processes—yet remains difficult to harvest efficiently with existing technologies. HEAT-BRIDGE addresses this challenge by bringing together ionic
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and tunneling as well as planning and production processes related to both mining and civil engineering. Project description For this PhD position, the research will focus on the development
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microbial communities that must remain balanced to ensure efficient and stable biogas production. At the Department of Molecular Sciences, research is conducted both on process operation and optimization and
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emphasis will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses
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characterization of HIV RNA/DNA in primary material as well as model cells using Oxford Nanopore sequencing and complementary molecular and computational approaches. The doctoral student will help develop, optimize