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- AGH University of Krakow
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Field
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preparing libraries for next-generation sequencing (NGS) as well as nanopore sequencing, along with the ability to analyze sequencing data using bioinformatics algorithms. Proficiency in developing algorithms
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Offer Description The successful candidate will be expected to work primarily on aspects related to precision predictions for the LHC and parton-shower simulations. The project encompasses the development
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of the algorithm for allocating the statutory research subsidy. *This period may be extended by the time of any long-term (in excess of 90 days) documented sick leave or physiotherapy leave granted on account of
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funded from the European Regional Development Fund. The aim of ICCVS has been comprehensive research into development of novel diagnostic and prognostic markers and personalized anti-cancer therapies and
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surrogate models. The method employs modern posterior sampling algorithms, using measurement data. The developed tools will enable faster and more accurate reconstruction of past and future emergency events
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analysis algorithms will be used to assess how different neutrophil subpopulations directly and indirectly kill tumour cells, and how this behaviour is influenced by other cells in the tumor microenvironment
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environments for acquiring and analyzing measurement data, developing algorithms for criterion quantities for assessing the integration of distributed generations with the power grid, developing data preparation
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skills in designing advanced neural networks (including Vision Transformers, Graph Convolutional Networks, and Spiking Neural Networks), hardware implementation of algorithms for reconfigurable FPGA
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or equivalent Skills/Qualifications The post-doc is expected to independently design, plan and conduct experiments. In addition, will oversee the work of the PhD student. Responsibilities: -To develop algorithms