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interest in Earth system and climate change sciences; hands-on and curiosity-driven, and ability to work independently and collaboratively; affinity with object-oriented coding (preferably Python), GIS and
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several—of the following: policy analysis, survey research, quantitative analysis, scientometrics, stakeholder co-creation. Advanced proficiency in R and python for statistical and corpus analysis Ability
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for early drug discovery Basic coding skills (e.g., Python, KNIME, or similar) A strong publication record in peer-reviewed journals Scientific curiosity, creativity, and a goal-oriented research mindset
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in a relevant field (e.g., computational linguistics, digital humanities) Excellent programming skills, with extensive experience in Python Extensive experience with recent Python-based machine
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programming in Matlab and/or Python. You are hands-on in lab work and skilled in experimental design. You bring creativity, an assertive attitude, and perseverance. TU Delft Delft University of Technology is
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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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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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and proficiency in Python (preferred) and/or MATLAB for data analysis are required. Experience with the assessment of masonry structures under multiple loading hazards. Language: Excellent command
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, sediment transport/deposition, landscape change); You enjoy working with large datasets and applying statistical analysis and modelling approaches; You use scripting/programming in your research (e.g. Python
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flows, or reinforcement learning-based design optimization. Strong programming skills in Python with experience in PyTorch, JAX, or equivalent deep learning frameworks. Ability to work independently