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- Institute of Nuclear Physics Polish Academy of Sciences
- Adam Mickiewicz University, Poznań
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- Łukasiewicz Research Network – PORT Polish Center for Technology Development
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methodologies including in vivo calcium imaging, optogenetics, electrophysiology, and molecular approaches. The work will be conducted in an international and collaborative research environment, offering
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are seeking candidates interested in conducting research in the following areas: understanding the molecular pathomechanisms of human diseases caused by nucleotide repeat expansions, generating transgenic cell
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processes upon targeted manipulation in relevant modalities. The ideal candidate has a strong motivation to perform translational research in neuroscience, presents solid background knowledge in molecular
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PhD student. Your role: You will perform PhD studies in plant molecular, cell, and developmental biology. You will work in the field of plant endomembrane system and use Arabidopsis thaliana as model
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high potential for progression. The aim of the project is to develop an innovative in vitro model enabling investigation of the (micro-)invasion process in DCIS and identification of molecular markers
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in the molecular mechanisms of gene expression regulation and the structure of protein–DNA complexes? Would you like to gain experience working with modern techniques of structural biology and
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Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 17 Feb 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting
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characterizing the epigenetic landscape of DM-associated genes and mapping their regulatory elements in cellular models using genomic methods (e.g., ATAC-seq, CUT&RUN, Capture-C, Micro-C). Next, in collaboration
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Physics » Biophysics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 16 Feb 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status
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graphics. Classical representations are relatively easy to render, while being difficult for generative machine learning models. A recent breakthrough in this area is the Neural Radiance Field (NeRF) and