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of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, to commence on 01.04.26. Information on the department can be found at: https://bmi.ku.dk/english/about_department
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selectivity and permeability and ultrahigh water permeability combined with high salt rejection. The objective of this work is to construct atomistic models of MOFs/Polymers and Artificial Water-Channel
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of animal models of stress and anxiety and requires the analysis of multimodal high-throughput molecular and behavioral data, to deconstruct the underlying mechanisms responsible for antidepressant treatment
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imaging to resolve molecular structure and guide engineering Protein design and molecular modeling, supported by AI tools such as AlphaFold2 Development of functional assays in insect and bacterial systems
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: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time-series
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skills with Python. Desirable qualifications: Previous experiences with kinetic Monte Carlo. Previous experience with machine learning applications in molecular modelling, including experience with
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of Drosophila fruit flies and human primary macrophages but will take advantage of genome sequencing, molecular genetics and in silico modelling across the animal kingdom. Objectives: Determine the minimal actin
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how alterations in brainstem circuits contribute to the onset and progression of Alzheimer’s disease. Murine translational models will be used. Electrophysiology and monosynaptic viral tracing will be
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you? Then join our accomplished team! Where to apply Website https://iventajobdata.eu/bestmedia/img/2235824/1889874/cl/aeadf518af329222e7596… Requirements Specific Requirements About the team: This is
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: (1) epigenetic analysis in a mouse models of Parkinson’s disease related exposures, (2) elucidating molecular mechanisms of pesticide-induced changes in DNA methylation in a 3D neurosphere model in