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Field
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the outcome of the infection. Individuals who join this lab as a postdoctoral appointee will gain advanced research skills in virology, cell biology, imaging tools and molecular virology, among others. Members
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of Grade 2/3 IDH-wildtype Astrocytoma ("Molecular Glioblastoma")” The project is led at the Medical University of Lublin by dr Grzegorz Stanisz, Ph.D., professor at the university. Project Description https
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researchers with ample experience in MEG/EEG data analysis, BCIs, signal processing, deep learning for brain imaging analysis, biomedical statistics, dynamical systems and research on motor control. The lab has
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Essential: Proficiency in fluorescence microscopy techniques (confocal, wide-field, live-cell); experience with microfluidic systems or single-cell analysis; strong background in image analysis; demonstrated
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process, but they are not detectable by X-ray crystallography. Therefore we have turned to neutron crystallography to locate the hydrogens (Kelpsas et al. 2021, https://doi.org/10.1107/S2052252521004619
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appreciated for its amenability to live imaging and functional genomic screens, to tackle some exciting questions in the field of neuroimmunology, including: How are signals of extracellular stress transduced
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using specific laboratory techniques that involve flow cytometry analysis, animal models of airway and brain disorders, single-cell RNA-seq, multiplex cytokine assays, and immunofluorescence imaging
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imaging data. Building on recent critiques of overfitted prediction models, the project will implement a structured, multi-tiered analytical framework, comparing classical regression techniques with modern
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state and federal agencies. The appointment is for one year with the possibility of renewal based on performance. Key Responsibilities Lead research and development of a prototype community readiness
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in a highly competitive international context. The project aims to prototype energy efficient solutions that will enable the HL-LHC and SKA to reliably process and analyze the huge volumes of raw data