Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 2 months ago
Job description:Postdoc (f/m/d) in Quantum Algorithms for Fluid and Environmental Flow Modelling With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from
-
or adhesion applications (maximum 3 points). 5. Proven experience in laboratory experimental techniques related to rheologically complex materials or structured fluids (maximum 2 points). Additional comments In
-
the Manchester BHF CRE: Geometric Deep Learning for Complex Manifolds: Novel deep learning theories, models and architectures to simulate interactions within non-Euclidean, patient-specific cardiovascular
-
or skin exposure to oils or other cutting fluids), hazards (includes a variety of physical conditions, such as proximity to moving mechanical parts, moving vehicles, electrical current, working
-
will design an "all-in-one" chip capable of handling complete fluid management—including flow, mixing, and incubation—alongside integrated spectroscopic analysis. Your primary objective is to overcome
-
be tested are located in the Marcell Experimental Forest (MEF) in north central Minnesota, where long-term data and research facilities exit, and the presence of complex landscape elements (lakes
-
acoustic discretion of surface vessels and submarines. They will also collaborate with the IEMN to design the prototype and the experimental protocol to be tested in heavy fluid Where to apply Website https
-
, potentially reducing NOx emissions. Developing porous burners requires understanding complex physics such as heat conduction, radiative transfer, flame stabilization, and surface chemistry, which are difficult
-
, development, and experimental characterization of PHPs, including the definition of geometries, selection of working fluids and materials, design of experimental test rigs, and measurement of thermal
-
-principles, network-based framework for plant water and carbon transport under climate extremes. The successful candidate will work at the interface of plant physiology, fluid mechanics, network theory