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, computer science, or a closely related discipline (typically first-class or high 2:1, or equivalent; Master’s welcome) • Strong programming skills (for example Python, MATLAB, C/C++) • Strength in at least two of
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using R scripting, Python and machine learning. The successful candidate will be expected to participate in both laboratory and informatic research but the emphasis will depend on the student’s prior
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or several of the following areas: A solid foundation in programming and system development, particularly using Python and machine learning frameworks. Should be comfortable working with machine learning
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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
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PhD Student position in LiFi Systems for Unmanned Aerial Vehicles - Pervasive Wireless Systems Group
of the fundamentals of wireless communications systems. Coding skills using Matlab, C/C++, Python. High level of English (English will be the working language) LanguagesENGLISHLevelExcellent Additional Information
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. Requirements Masters degree in physics (grade of "good" or better). Experience in scientific programming (e. g., Python, Julia). Interest in experimental physics. Good command of English (that will be
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or above. Fluent oral and written communication skills in English. Programming skills in R, Python, or similar are essential. Previous experience with meta-analysis is desirable but not essential. Previous
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statistical and mathematical modelling of infectious diseases. You have experience with scientific programming (e.g. in R, Python) If you have experience with the research topic, this is a plus. You have
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Programming skills (commonly C++, Python, or similar languages used in HEP frameworks), Monte Carlo simulation methods and data analysis techniques Interest in connecting ideas and people across disciplines
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excellent analytical and programming skills (for example in Stata, R or Python), experience working with data, and an enthusiasm for interdisciplinary research that bridges data science, healthcare, and