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aims at developing a new and innovative system for the large scale analysis of stellar spectroscopic data. The "CHEmical Survey analysis System" (CHESS) will combine machine learning ideas with
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 8 days ago
learning as well as bioinformatics. The PhD student will have a direct impact on lab development and its success in publishing in high impact factor journals. The person will be also responsible
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courses or prior professional activities with at least one of the following: machine learning, structural dynamics, numerical modelling techniques (finite element method), experimental methods in acoustics
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to the implementation of the project: Multispectral fluorescence supported by machine learning for the analysis of cell cocultures. The scientific goal of the project is to check the possibility of using multispectral
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numerical computer simulations, a model of the accretion disk instability, driven by a dominant radiation pressure (RPI), is studied. We also study the black hole accretion and ejection of plasma in a form of
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synchrotrons around the world will be expected. The assistant professor hired will teach physics classes. An extension of the contract to permanent position is possible. 9-month contract starts on the 1st
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correcting energy conditions used in supercell computing. • Experience in using GPU for VASP calculations. • Experience in applying AIMD technique and implementing machine learning in VASP. Knowledge
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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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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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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