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optimization techniques. You have experience with modern Deep Learning Frameworks (PyTorch, Tensorflow, Jax) and proven ability of CUDA and Python programming. Knowledge of, or prior experience with, optimizing
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results in prior studies are a requirement (cum laude – distinction, or higher).•Experience with programming languages (such as R and/or Python) is an asset. •You can conduct independent research
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(advanced) programming skills in C/C++. Proficiency in Python and/or MATLAB is an added advantage. You are a collaborative team player with excellent communication skills. You demonstrate a high level of
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, or computational imaging; You have strong skills in digital signal processing (DSP), including familiarity with machine learning or deep learning; You have proficiency in scientific programming (e.g., Python, MATLAB
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experience. Proficiency in Python. Experience with data analysis, machine learning, and AI methods. Motivation to tackle a challenging multi-disciplinary project. Bonus (but not required) Experience with
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, or a closely related field Strong programming skills, e.g., Python, and familiarity with machine learning and/or software engineering workflows; experience with Git and empirical evaluation Experience
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Health, Data Science, Remote Sensing, Geomatics or a closely related discipline•Strong analytical and programming skills (e.g. Python or similar)•Experience in at least two of the following areas
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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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/modification, translation). • Comfortable in a Linux/Unix environment; basic shell scripting and Python or R skills. • Strong quantitative mindset and motivation to develop analysis pipelines for NGS and
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machine learning You have good programming skills in Matlab, Python You have proven your proficiency in English language equivalent to B2 level You are enthusiastic and result oriented You can work