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will be expected to dedicate your time develop a high-biofidelity, high-resolution computational rat model with dual applications: i) advance the mechanistic understanding of brain injury by linking
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analytical skills and competence in handling large, complex datasets. We are looking for candidates with good communicative skills that thrives in international and cross-disciplinary settings. Therefore, good
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approach combines behavioral experiments, psychophysiology, computational modeling, and brain imaging (fMRI). We offer a dynamic, international research environment where you can contribute to top-level
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develop and improve protein-glycan binding prediction models and use AI, data science, and bioinformatics to identify and design glycan-binding proteins with desired binding specificities. Qualifications
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Project description The postdoctoral fellow will explore synaptic processes and white matter pathways between remote brain areas in vivo in animal models that underlie plasticity in the prefrontal
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. The workplace The position is located at the Laboratory of Organic Electronics (LOE ), specifically within the Theory and Modelling for Organic Electronics unit in the group led by Associate Professor Glib
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to tackle the key area of critical importance to society: healthcare and biomaterials. Parlak team investigates the application of bioelectronics in medicine to meet the need for complex, dynamic environments
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us The High-Energy part of the Theoretical Subatomic Physics group performs research into elementary particle physics from model building and Dark Matter to formal Quantum Field Theory
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model building and Dark Matter to formal Quantum Field Theory. Organizationally we are part of the division of Subatomic, High-Energy and Plasma Physics within the Department of Physics . We have a
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings