257 parallel-computing-numerical-methods positions at DAAD

  • DAAD | Germany | 21 days ago

    Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics Modelling. Your tasks Development and implementation of numerical and algorithmic methods for the simulation of fluid

  • DAAD | Germany | 3 months ago

    economics on the other side? In this unique doctoral program, you will be able to conduct an interdisciplinary research project that revolves around computational methods such as mathematical models

  • DAAD | Germany | 3 months ago

    of medical free text using advanced AI methods” (working group of Prof. Christof von Kalle) The duration of a position in the BIH PhD Program is three years with a possible extension of up to one year

  • DAAD | Germany | about 18 hours ago

    available in the further tabs (e.g. “Application requirements”). Programme Description The one-year scholarships are intended for graduates from Bulgaria, Croatia, Czechia, Hungary, Poland, Romania, Serbia

  • DAAD | Germany | 14 days ago

    journals Presenting results at scientific meetings Your profile Completed university studies (Master/Diploma) in the field of Chemistry, Physics, Computer Science or related field Knowledge of Density

  • DAAD | Germany | 14 days ago

    results Your profile Completed university studies (Master) in the field of Chemistry, Radiochemistry, Geology, Mineralogy, Physics or related field Experience in experimental methods for analyzing reactive

  • DAAD | Germany | 14 days ago

    , especially attachment/detachment and flotation kinetics Basic familiarity with multiphase measurement systems (e.g., optical probes, inline endoscopy, interferometric methods) is an advantage Interest in model

  • DAAD | Germany | 14 days ago

    ) and/or by applying ultrafast X-ray tomography (e.g., ROFEX) Develop and further improve multi-sensor and imaging-based measurement methods to capture key process variables in different zones

  • DAAD | Germany | about 2 months ago

    the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD

  • DAAD | Germany | 14 days ago

    computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language

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