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the translation of ecological science into decision-making. Experience with quantitative analysis, modelling, simulation, or programming, preferably in R, Python, NetLogo, Julia, or comparable tools
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. You have good programming skills, preferably in Python, and are able to independently write and adapt code for data processing, analysis, and visualization. Experience with deep learning and frameworks
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science, hydrology, computer science, environmental science, or equivalent You have solid scientific coding skills in Python. You are strongly motivated to acquire advanced skills in Python and in the use
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. You have strong programming skills in C/C++, Python, and/or Matlab. Knowledge of energy-efficient communication systems, network energy modeling, or renewable energy integration is a strong asset
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, and evaluation Experience with embedded hardware, such as AI accelerators (e.g., NVIDIA Jetson, Axelera, Qualcomm, Rockchip) or ARM-based platforms Solid programming skills, particularly in Python and C
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implementation and application. Basic knowledge and a keen interest in physical problems (especially inverse problems) and scientific applications. Strong programming skills (preferably Python). Ability to work
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characterization techniques such as XRD, XPS, SEM, or TEM. Experience in data analysis, scientific programming (e.g. Python), statistical experimental design, as well as data-driven research methods and
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requirements , passion in using new technologies and an innovative mindset are essential. Knowledge of C++, python and ability to perform experiments will be considered advantageous. Additional Information
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at least one programming language (e.g. Python, C++) ▪ FPGA programming experience ▪ Interest in hands‑on experimentation and hardware prototyping The following points are considered a bonus ▪ Experience
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deep learning, with a sound understanding of experimental research methodology documented through coursework, projects, or publications. You must have strong programming skills in Python and experience