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- Nencki Institute of Experimental Biology
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who meet the following requirements: 1. doctoral degree in the discipline of Earth Sciences, Biology or related, 3. excellent knowledge of computer techniques used in geography and ecology 4. very good
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of work: We combine a unique methodology of recording the activity of single neurons in humans with advanced analytical approaches, such as machine learning and multidimensional analyses, to better
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Offer Description KEYWORDS: bioinformatics, metagenomics, metabolomics, cancer, machine learning, artificial intelligence Principal Investigator
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of machine learning tools for optimisation and upscaling of BES - Guidance and collaboration with PhD students - Scientific writing Specific Requirements Requirements: - Previous experience with microbial fuel
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, permeability, and cytochrome P450 interactions would be advantageous; ▪ Knowledge and/or openness to learn of computer-aided drug design methods, in particular molecular docking, pharmacophore modelling, or in
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for the aforementioned reactions. Based on the automatic reactor, an I-TR-NUS&TR-L running benchtop spectrometer, and machine learning algorithms, we will be able to achieve a higher yield and control the reaction to stop
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– Wrocław University of Science and Technology offers employees the opportunity to teach students and participate in training programmes. International cooperation – Wrocław University of Science and
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written English skills (B2 level or equivalent, certified), ability to read, understand, and write in scientific English. 7. Knowledge and ability to operate computer software. 8. Analytical thinking
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 2 months ago
3 Aug 2026 Job Information Organisation/Company The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences Research Field Biological sciences » Biology Researcher
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, often acquire a dysfunctional state due to chronic antigen exposure in a nutrient depleted, and suppressive tumor microenvironment (TME). T cell dysfunction is characterized by a gradual loss of effector