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in industrial ecology, environmental engineering, textile engineering, chemistry, or equivalent. Programming skills, e.g. Python or other languages. Applicants without these skills should have the
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behavior, responsibility, and policy; Strong quantitative research skills, including experience with statistical analysis (e.g., R or Python), and an affinity for computational text analysis (e.g., natural
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sciences, such as cellular EM, volume EM, or cryo-EM. A solid understanding and proven expertise in Python and the use of computational techniques, preferably neural networks, for data analysis and
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Requirements. Nice-to-have: Experience working with adsorption materials. Programming skills (e.g. Python or R). TU Delft Delft University of Technology is built on strong foundations. As creators of the world
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one programming language: Matlab, Python, is expected. Eager to work within a team and independently. Ability to collaborate with industry and academic researchers. Fluent in spoken and written English
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, surveys, meta-analyses, cost-benefit analysis you have some experience with chosen coding language, such as R or python you are enthusiastic about communicating research to academic and non-academic
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Engineering, Physics, or a related discipline. Technical Skills: Experience with numerical algorithms and scientific software development. Tools: Proficiency in Python (or similar) and/or wind turbine
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Expertise: Deep experience in Large Eddy Simulation (LES) and a solid understanding of Atmospheric Boundary Layer (ABL) physics. Programming: Strong proficiency in C++, Fortran, or Python, and experience
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quantitative skills (e.g. advanced statistics, programming in Python, R, or Matlab). You have experience with neuroimaging and/or computational modelling of cognition and behaviour (e.g. reinforcement learning
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Foundations: Knowledge of optimization techniques (e.g., LP, CVX, etc), including for/with ML (first order methods, data-driven algorithms, etc). Data Foundations: Hands on experience in data analysis (Python