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will join an international and multidisciplinary team and will work in the project which aims to develop an innovative, modular, and partially bioresorbable wound filler for Negative Pressure Wound
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engineering, especially in the development of functional properties of materials for Na-ion batteries. Requirements: The candidate should have a doctoral degree in the field of chemical engineering, materials
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than previously believed, or did Neanderthals or Denisovans develop similar techniques independently? The ERC-funded INASIA project seeks to answer this by studying new cave sites, using a
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related to the experimental results. SCOPE OF WORK: - Development of nanomaterials and coatings for 3D printed titanium alloys. - Characterization of materials and coatings using XRD, Raman, XPS, FE
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | about 1 month ago
15 Sep 2025 Job Information Organisation/Company Łukasiewicz Research Network – PORT Polish Center for Technology Development Research Field Physics Researcher Profile First Stage Researcher (R1
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conductivity in solid state, possibility to learn unique methods of chemical analysis, work in friendly environment, possibility for scientific self-development Eligibility criteria Important: Candidates need
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attractive partner for business. It cooperates with the largest national and international corporations. It conducts research of a European standard, develops new technologies and creates innovation in
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 2 months ago
, pharmacological, and similar sciences, in an international environment conducive to collaborative efforts, research and development interactions with the biotechnological industry, and wide dissemination of our
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, SNA, Machine Learning, Sentiment Analysis) with qualitative ones (digital ethnography, narrative analysis). One of the tangible side-effects of the project will be developing research tools for Polish
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interactive, interpretable machine learning to increase the efficiency of the drug discovery process. The developed tool will be able to analyze images of cellular events, such as those obtained in