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microplastic particles based on spectral and morphological fluorescence data. Develop and maintain modular analysis pipelines in Python or MATLAB, integrating data preprocessing, feature extraction, and
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languages such as Matlab and Python, along with experience in dielectric spectroscopy, ellipsometry, and calorimetry, is highly valued. Prior involvement with nanoconfined systems and nonequilibrium
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programming languages including bash scripting, MATLAB, C/C++, Golang, and Python Working knowledge of free5GC/OpenAirInterface/srsRAN open-source software stack. Practice in other open-source mobile network
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, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
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, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
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skills in R and/or python Experience with iPSC and/or cell culturing What we offer As part of the VIB-UAntwerp Center for Molecular Neurology and VIB , the applicant will benefit from established
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
, or related fields Strong programming skills in Python, R, and experience with Linux environments Demonstrated experience in processing and analyzing large-scale genomic and transcriptomic datasets
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Programming skills in Python Experience with Machine learning (PyTorch/Keras). A computational mindset and a strong interest in computational biology We offer A versatile and challenging job with
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. Applicants should demonstrate expertise in programming languages such as Python and/or R, as well as experience working with high-performance computing clusters. The successful candidate will be a team player
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experience with coding in C++, python/matlab. GPU programming is a definite plus. You have experience in applying deep learning to solve computational imaging problems. Experience with inverse problems such as