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(subproject A1): This project aims to enhance smartphone-based survey methods as one component of future multi-method travel surveys, to achieve representative samples and travel estimates, to collect
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Research Assistant (m/f/d) in the field of Theoretical Ecology and Evolution or Computational Biolog
, there is the opportunity to work on your own research topics and establish a junior research group. Your duties: Support ongoing research projects by developing computer models and performing computer-based
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excursions. The PhD student will work on analysing the reliability of paleomagnetic records, deriving uncertainty estimates, and building time-dependent models of the paleomagnetic field evolution using a
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | 23 days ago
the new suite of powerful data science methods will enable novel insights into the structure and functioning of deep-sea ecosystems, while the developed approaches will be available for the analyses
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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