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research in the area of verification, testing, and exploration of artificial intelligence models using synthetic data and generative explainability techniques (GenXAI). Key responsibilities will include
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join the research team of the INASIA project led by Małgorzata Kot, PhD and funded by European Research Council (ERC). Description of the project: Long before modern humans were thought to have arrived
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8 Oct 2025 Job Information Organisation/Company University of Lodz Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Poland Application
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 3 months 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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“Investigation of the 3-D distribution of Hard X-ray sources related to solar eruptions: verification of the standard flare model scenario.”, funded by the Polish National Science Center (NCN) we are currently
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the competition committee Determination of qualifications: (researcher profile) according to the Euraxess guidelines (R1)First Stage Researcher (up to the point of PhD) X (R2)Recognized Researcher (PhD holders
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join the research team of the INASIA project led by Małgorzata Kot, PhD and funded by European Research Council (ERC). Description of the project: Long before modern humans were thought to have arrived
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Description of tasks: Research in the field of archaeological science, including writing of scientific articles Coordination of research in bioarchaeology in the Human Ecology Group at the ICNT, in connection
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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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interactions, in silico molecular modeling, molecular biology, in vitro plant cultures, Medicago. Principal Investigator: Professor Michał Jasiński Research topic