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- Poznan University of Technology
- Łukasiewicz Research Network – PORT Polish Center for Technology Development
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recordings, strong MATLAB and or Python programming skills – single-neuron sorting (Preference for Osort software), signal analysis, statistics, machine learning, exceptional motivation for the scientific
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tomography. Advanced image analysis tools, including machine learning (ML)-based tools, will be used to analyse the resulting datasets. Notably, we propose developing quasi-live and offline image analysis
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Skills/Qualifications The candidate must possess a Ph.D. degree in robotics or related disciplines, such as computer science. Experience should be related to perception and machine learning, with a focus
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Description The National Centre for Nuclear Research opens the competition for Post-doc position in condensed matter physics/ computational materials science/ machine learning Localization: National Centre
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science, mathematics, machine learning, bioinformatics, or physics (or close to the respective defence – the employment will take place after the doctoral degree is awarded). ● Publications out of PhD. ● Documented
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the Institute of Robotics and Machine Intelligence at Poznan University of Technology. We offer full-time position with a fixed term contract. The PostDoc will join our team in learnINg versaTile lEgged
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | about 2 months ago
in in vivo neurophysiological techniques (such as electrophysiology), or a strong drive to learn those techniques. Following the CNS virus microinjections in transgenic animals (stereotax), you will be
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | about 2 months ago
neurophysiological techniques (such as calcium imaging), or a strong drive to learn those techniques. Following the CNS virus microinjections in transgenic animals (stereotax), you will be performing optogenetic
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aims to leverage remote techniques such as Satellite Radar Interferometry (InSAR), Numerical Modelling (NM) and Machine Learning (ML) to understand sinkhole formation physics and effectively detect
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, knowledge of scikit-learn library, Basic knowledge of machine learning, optimization, metaheuristics, At least 3 publications in JCR journals or conferences with at least A ranking according to CORE database