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museums in Europe. The Wissenschaftsraum focuses on developing new methods for the digital research and presentation of collection items that have been removed from their original contexts for various
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with a biological/immunological cell response; Cell culture of immune cells and molecular biological measurement methods (including flow cytometry); Measurement of oxidised proteins using mass
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Job Advertisement 2025-05 23.07.2025 The Leibniz Institute of Atmospheric Physics (IAP) seeks applications for a Data and computer scientist (f/m/d) The position is limited to 2 years with option
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or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition-process-structure-property
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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-efficient learning, uncertainty estimation, 3D vision. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch
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methods in the field of RDM in Jülich and beyond and share this knowledge with our scientists in the form of workshops and regular events, supported by colleagues at Forschungszentrum Jülich Keep an eye out
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processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth observation data. Our team aims at tackling societal grand
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hydrological modelling methods that explicitly use interpolation to pre-process precipitation data. In addition, the research should explore the integration of opportunistic sensor data to improve forecast
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), located in central Berlin, is seeking a highly motivated postdoctoral researcher with a strong computational background to develop new methods for analyzing multimodal data from genetic and pharmacological