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Field
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datasets across broad chemical space Evaluate models through molecular dynamics, simulations, and benchmarks Active Learning in Configurational and Chemical Spaces Integrate uncertainty-aware MLFFs
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material, and investigations will include, for example, characterizing novel patient derived cultures via various cell and molecular biological assays. Later, the modelling and therapeutical studies
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., or M.D./Ph.D. degree with strong training in molecular biology, RNA biology, cancer biology, or a related field. The ideal candidate will demonstrate excellent scientific productivity, strong written and
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studies and post-doctoral periods. b) Relevant experience in cell and tissue culture (2D and 3D), molecular biology, and the development of in vitro 3D models based on 3D bioprinting. Experience in
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handling mice, performing surgeries in transgenic mice models and post-op care, behavioral tests and molecular studies. Minimum Qualifications Bachelor's degree and one year experience; or any equivalent
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-on-Chip models to study the systemic mechanisms of obesity and its metabolic, cardiovascular and musculoskeletal implications. The main functions include: Implementation and optimisation of organ
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of optical signals and for modeling optical metamaterials at the nanoscale based on lithograph-free, quasi-ordered arrays of plas-monic nanoantennas obtained with TDW/GLAD, development of plasmonic
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well as interactomics and kinetic translatomics of translating ribosomes and their genetic manipulation in dopaminergic neurons from various PD models. The aim is to use these findings to identify translationally
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neuroinflammation and neurovascular interactions using mouse models and micro physiological systems. Some of these scientific questions span into characterizing molecular changes in the blood-brain barrier, glia
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background in Computational Biology/Genetics/Genomics/Bioinformatics/Molecular Biology. Candidates with expertise in applying AI/ML to high-throughput omics data, processing, and curating large-scale omics