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interest in how technology shapes society). proficiency in Python, with hands-on experience in the open-source AI stack (HuggingFace, etc.). understanding that data in SSH is often messy, subjective, and
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processing, and user-friendly GUI-based analyses for clinical and physiological research. You will combine Python-based software development, biomedical signal processing, and FAIR data design, and contribute
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compatibility analysis between ITU services (typically based on STK, Excel, MATLAB or Python), in line with ITU Radio Regulations and Recommendations; Reporting on frequency management matters and contributing
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: Experience with one or more general-purpose programming languages, such as Python, and general-purpose deep learning frameworks. Experience with integrating multidisciplinary inputs. Demonstrated ability in
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large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science
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strong programming skills (e.g. Python, Java, or similar) and experience building APIs, data pipelines, or backend systems. Data integrator by nature – You are comfortable working with SQL/NoSQL databases
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computational methods (e.g., NLP, text-as-data, Python/R) is highly desirable. Interest in serious games, interactive tools, or participatory research methods is an advantage. A research-oriented attitude
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programming skills (C++ or Python) and experience with numerical modeling (for instance, Finite Element Analysis or Computational Fluid Dynamics); A strong interest in—and willingness to learn and perform
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research, reflected in publications or other research outputs. Strong programming skills in Python and experience with scientific computing environments. Experience in one or more of the following areas
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interest in learning, adaptation, and dynamical systems in physical contexts Experience with analytical and\or computational modeling. Proficiency in numerical methods and coding (Python, JAX, MATLAB