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- Institute of Biochemistry and Biophysics Polish Academy of Sciences
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Infrastructure? No Offer Description This doctoral research project focuses on the design, synthesis and biological evaluation of novel nucleoside analogues with potential anticancer and antiviral activity. In our
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data generated in their experiments; Participate in experimental design and planning; Represent the laboratory at scientific conferences. NCN Call Type: OPUS – NZ Application deadline: 7 October 2026, 00
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 26 days ago
therapeutic properties in humans are largely coincidental and only indirectly evolutionarily selected. Novel, “non-natural” metabolites with structures specifically designed for human therapeutic use can enable
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to independently plan and conduct experiments; be familiar with, or willing to learn, methods used to investigate protein–ligand interactions and molecular mechanisms of compound action, as well as methods
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derivatives against the target protein; hUPF1. Design in vitro and in vivo experiments. Make in vitro experiments for the selected ligands (and derivatives) for the UPF1 protein and cellular thermal shift assay
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | about 2 months ago
an advantage The successful candidate will join a multidisciplinary team working to develop a new gene-delivery strategy targeting retinal bipolar cells. The project involves the design and testing of genetic
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optimization of machine learning methods for processing Quantum OCT (Q-OCT) signals. Design, training, and testing of neural network architectures for artefact and dispersion removal in Fd-Q-OCT and SS-Q-OCT