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Position: Postdoctoral Researcher in Vision-Language-Action Models and Physically Informed Neural Networks for Surgical Robotics Publication date: 30.09.2025 Closing date: 29.10.2025 Level of education: PhD
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to explain the character, occupation and exploitation of the offsite zone of the settlement. The work involves a preparation of at least two scholarly articles in peer-reviewed journals in collaboration with
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, supplemented with information on paleolatitudes, paleotemperatures, and sea levels; - Modeling using 3D scans; - Participating in the descriptions of new plesiosaur taxa; - Performing phylogenetic analyses
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | about 2 hours ago
properties and a variety of potential applications. Application of the molecular dynamics methods combined with the approach based on the thermodynamic models of multicharged surfactant adsorption can provide
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entitled: ”Metal-organic frameworks for efficient carbon dioxide capture from water”. Where to apply E-mail swuttke@agh.edu.pl Requirements Research FieldChemistryEducation LevelPhD or equivalent Skills
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interactions, in silico molecular modeling, molecular biology, in vitro plant cultures, Medicago. Principal Investigator: Professor Michał Jasiński Research topic
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research, combining state-of-the-art single-cell biology, epigenomics, and zebrafish disease models to uncover the regulatory mechanisms of development and disease. Where to apply Website https
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 25 days ago
metastasis. The in vivo function of DDK has remained largely elusive due to past technical constraints. Leveraging our in-house degradable CDC7 mouse models, we are investigating whether targeted CDC7
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postdoc (extendable for 3 years) in Jakub Zakrzewski group, starting preferably January 1, 2026 in Spin and Hubbard Models in a cavity QED setting (SPINHUBQ) project founded by SNF for collaboration
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for 60 heaps. Linking them with ground-based data will allow to develop models revealing variability of ecosystem functions and biodiversity within spoil heaps, as well as along successional gradients