Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
) Machine Learning and Combinatorial Optimization (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting at the earliest possible date. The positions are
-
Deutschland, supports international Muslim students and doctoral candidates with funds from the Federal Foreign Office (Auswärtiges Amt, AA). The aim of the programme is to create optimal conditions for
-
beamlines Method Development: develop and optimize methodologies to study nanoparticles encapsulated in protein cages implement improvements to existing protocols and instrumentation to enhance research
-
: Optimization of Innovative Air Mobility Networks Operating Supervisor: Prof. Dr.-Ing Hartmut Fricke, Chair of Air Transport Technology and Logistics and co-supervised by at least one additional
-
, manufacturing and optimizing gene vectors Characterization of vector transduction in vitro and in vivo Radiolabeling of gene vectors for PET/CT imaging Animal studies in collaboration with other researchers and
-
in energy system optimization models including, e.g., reservoir productivity predictions, novel surface processes for CRM extraction, CO₂ reinjection, and reconversion of decommissioned oil wells
-
changes), Computer Science and Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering
-
beamlines Method Development: develop and optimize methodologies to study nanoparticles encapsulated in protein cages implement improvements to existing protocols and instrumentation to enhance research
-
are being developed that provide AI-supported tools to identify suitable sources and optimize utilization decisions throughout the product life cycle. Various machine learning approaches are to be used
-
finalization of the foundations of dual-tracer imaging using a GATE-based Monte Carlo simulation Implementation of the developed algorithms within our modular, C++-based and cluster optimized PET image