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about the ISSE Institute, please visit our website: https://www.isse.tu-clausthal.de Your responsibilities include: Research and development in the field of software engineering for dependable and safe
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Manipulation in Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM) A more detailed topic description can be found at https://www.ce.cit.tum.de/lsy/open-positions/open-phd-positions/ . Requirements
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
university Basic understanding of remote sensing and Earth observation data Familiarity with Python or R and interest in working with cloud-computing environments Ability to work independently, with attention
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publications at internationally renowned venues in machine learning. Solid mathematical background, distinct analytical and numerical skills. Solid programming skills (e.g. Python, C++) Excellent ability
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EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites | Darmstadt, Hessen | Germany | 2 months ago
scientific applications software in Python, IDL and/or MATLAB, including software development and management tools (e.g. GitLab). Experience with operational data processing software (e.g. Java, C++, Fortran
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in the use of geometric or morphological methods (e.g., Voronoi analyses, clustering methods, Minkowski functionals) Very good programming skills (e.g., in Python, C++, or comparable languages
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biology approaches and early-adoption of cutting-edge technologies Operating with Linux and high-performance clusters (HPC) R/Python and Snakemake or Nextflow (or comparable platforms) OUR REFERENCES
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performance, detect artefacts, and ensure scientific rigor Proficiency in Python (or Julia/R) for data handling, ML model development, and statistical analysis Ready to work with time‑series data, sensor fusion
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, simulation, and software development (e.g., Python, C++, ROS, MATLAB) analytical skills and ability to combine theoretical modeling with experimental validation We are looking for first-class graduates with
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one programming language (Python, Matlab, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Knowledge of numerical simulation, for example with land surface