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. Knowledge of LabView for developing programmes for data acquisition, data analysis, and flow control. Proficiency in CAD software. Programming skills in Python and knowledge of MATLAB, Tecplot, or similar
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Python and common deep learning frameworks (PyTorch) • Excellent communication skills in English (German is a plus) • Independent, structured working style and experience in supervising students Preferred
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one of the optimization solvers and platforms such as CPLEX, CVXPY, Pyomo, GAMS Proficiency in MATLAB or Python programming Preferred Qualifications Familiarity with microgrid, grid resilience, grid
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, and similar equipment. Proficiency in Python programming including ability to install and use spiking neural network simulators such as SNNTorch, NEST, Nengo, etc. Experience with semiconductor memory
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scientific writing. Proficiency in statistical software (e.g., R, SPSS, Python) and survey tools (e.g., Qualtrics). Ability to work independently and collaboratively in a research setting. Record of peer
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with OFDM modulation required. Skills Programming skills in MATLAB and or Python required, experience with wireless testbeds desirable, some familiarity with GPU programming desirable (to support
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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python
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) must be met by the beginning of the employment. Other requirements are a good computational background (basic knowledge of R, Python or Bash programming languages) as well as experience in analysing
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, implementation, and validation. Proficiency in scientific programming, with experience in one or more languages such as Python, MATLAB, and/or FORTRAN. Ability to conduct independent research and collaborate
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For Someone Who • Has a PhD in computational biology, genomics, bioinformatics, microbiology, or a related field. • Is fluent in Python/R and Unix-based workflows. • Has experience with microbial genomics