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Field
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Numerical methods Programming skills (Python, MATLAB, or similar) Strong analytical and problem-solving skills. Good written and spoken English. Desirable: Experience with photonic/electromagnetics design
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: · Working knowledge of MATLAB/Python and signal processing · Basic understanding of electromagnetics · Experience with CAD and mechanical design How to apply: Interested candidates should contact Dr Hungyen
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Excel; f) knowledge of programming, namely VBA, Python, and C. 5. Formalization of the applications: Applications are formalized through a request addressed to the Rector of Universidade do Minho, under
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Leibniz Institut für Naturstoffforschung und Infektionsbiologie | Jena, Th ringen | Germany | 1 day ago
of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills LanguagesENGLISHLevelGood Research FieldBiological sciences » Biological engineeringChemistry
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Dutch), cognitive modeling of human problem solving processes, mechanistic interpretability in AI-models, as well as extensive computer programming experience in R and Python. Given that the project lies
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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
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system measures) using Matlab, Python or similar software tools. You have affinity with, or experience in, virtual reality serious game design and user experience (UX) assessment. You have affinity with
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, or ability to learn quickly) and/or symbolic/numerical computation (Mathematica, R, Python). • Fluency in scientific English (reading, writing, speaking) is essential to interact with the project's
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knowledge in life cycle analysis and programming software in Python German will be valued Specific Requirements Experience in sustainability, decarbonisation or circular economy. Analysis of carbon footprint
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and solution of nonlinear partial differential equations (PDEs); Experience with at least one scientific programming language (Python, C++, or Fortran); Ability to work independently while integrating