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of Unix systems (GNU Linux) and keen to gain hands-on experience in Networks and systems Machine Learning knowledge is a plus Strong analytical and programming skills are required (Python, Matlab, Golang
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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++ Language
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and their development Strong analytical, problem solver, and programming skills, e.g. Python, Matlab, are preferred Knowledge in Non-Terrestrial Networks and Semantic Communications is a plus Prior
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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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sequencing; Has experience with programming, data visualization and data handling in Python, R or related languages; Is proficient in Unix/Linux-based command line and cluster environments; Has
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representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals
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. Python and/or R, Unix), and you are familiar with reproducible workflows; You are motivated to work on frog genomes to understand sex chromosome turnover and the evolution of recombination landscapes, and
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skills in at least one relevant language (e.g., Python, R, Rust, JavaScript) Familiarity with smart contract interaction (e.g., web3.py/ethers.js, Solidity/Vyper, sub-graph indexing), and local development
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are fluent in English: both written and spoken. You have experience with: Ocean Colour satellite data BioGeoChemical-Argo data streams You are proficient in programming languages such as Python and/or R