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molecular biology and genetics techniques. Strong quantitative/analytical skills and proficiency in programming in MATLAB, Python, or R. Track record of first-author original research papers. Strong oral and
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optimization Strong command of signal processing applied to detection / mitigation Machine learning experience is a valuable asset Proficiency in MATLAB. Python and machine learning frameworks is a valuable
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learning - deep neural network, recurrent neural network, LSTM Optimization theory Stochastic geometry Strong programming skills in at least one of the following: MATLAB, Python, JULIA or C++. Highly
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. Experience in network simulation and modelling tools (e.g. ns‑3, OMNeT++, MATLAB, Python) is an advantage. Practical experience in prototyping or testbed experimentation is an advantage. Soft skills Strong
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and/or hardware testbeds for wireless or satellite systems Strong programming skills in at least two of the following: MATLAB, Python, C/C++; experience with GNU Radio, OpenAirInterface, srsRAN
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‑based localisation or DOA estimation, design of ML models for time‑series or signal data Excellent programming skills in Python and/or MATLAB for signal processing and ML. Familiarity with libraries
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
skills for data treatment (e.g. MATLAB, Python) Prior work related to toxicology, safe and sustainable by design (SsbD) Prior experience in the preparation of nanofibers, textiles, cosmetics and/or cell
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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