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Postdoctoral Research Scientist in Microbiology – (Jobs/Scholarships)



University of Oxford – Department of Paediatrics<br />Salary: £39,424 to £47,779 with a discretionary range to £53,483 per annum (pro-rata)



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PhD Scholarships in Finance at Durham University Business School – (Jobs/Scholarships)



Durham University – Department of Finance – Durham University Business School<br />Salary: £20,780



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Tax Manager – (Jobs/Scholarships)



University of Wolverhampton – Finance Department<br />Salary: £50,253 to £58,226



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Lecturer / Senior Lecturer in Cyber Security – (Jobs/Scholarships)



University of West London – School of Computing and Engineering <br />Salary: £46,312 to £60,734 per annum, Lecturer / Senior Lecturer



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Modulation of endothelial-to-mesenchymal transition via NRP-1 targeting with melittin attenuates pulmonary fibrosis – Research


The transforming growth factor-β (TGF-β) signaling pathway is a central driver in the pathogenesis of pulmonary fibrosis (PF), and strategies targeting this pathway demonstrate therapeutic potential. However, the ubiquitous blockade of TGF-β signaling is associated with detrimental effects due to its pleiotropic involvement in physiological processes. Here, we demonstrate that blocking neuropilin-1 (NRP-1), a high-affinity TGF-β co-receptor, with host defense peptide melittin (MLT) attenuates PF progression. Molecular docking and surface plasmon resonance (SPR) demonstrated direct binding between MLT and NRP-1. In vitro studies revealed that MLT selectively targeted endothelial cells with high NRP-1 receptor expression, suppressing endothelial-to-mesenchymal transition (EndMT) via inhibition of TGF-β/Smad and MAPK pathways activation. In a bleomycin-induced PF model, elevated NRP-1 expression enhanced fluorescence-labeled MLT targeting in fibrotic lungs, enabling MLT to exert dose-dependent anti-fibrotic effects through EndMT suppression and significantly improve survival in PF mice. Furthermore, in vivo imaging showed that MLT-loaded peptide-lipid nanoparticles (M-pLNPs) formed a depot sustaining lung fluorescence for over 24 h, starkly contrasting with free MLT clearance within 6 h, which may contribute to comparable anti-fibrotic efficacy at a lower dose. Therefore, our results suggest a novel mechanism involving co-receptor blockade for the anti-fibrotic effect of MLT, highlighting its potential as a therapeutic candidate for PF.


Keywords:

EndMT; Melittin; NRP-1; Peptide-lipid nanoparticles.



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Decades-Old Drug May Offer First Real Hope for Ultra-Rare, Life-Threatening Genetic Disorder – Science News



DNA Genetics Mutation ConceptA long-established drug with a diverse medical history is drawing new attention for its potential role in treating an ultra-rare and life-threatening genetic disorder. Early findings suggest that a medicine first developed decades ago could take on an unexpected new role in treating Bachmann-Bupp syndrome (BABS), a devastating and ultra-rare condition with no established therapy. […]



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Modulation of endothelial-to-mesenchymal transition via NRP-1 targeting with melittin attenuates pulmonary fibrosis – Research


The transforming growth factor-β (TGF-β) signaling pathway is a central driver in the pathogenesis of pulmonary fibrosis (PF), and strategies targeting this pathway demonstrate therapeutic potential. However, the ubiquitous blockade of TGF-β signaling is associated with detrimental effects due to its pleiotropic involvement in physiological processes. Here, we demonstrate that blocking neuropilin-1 (NRP-1), a high-affinity TGF-β co-receptor, with host defense peptide melittin (MLT) attenuates PF progression. Molecular docking and surface plasmon resonance (SPR) demonstrated direct binding between MLT and NRP-1. In vitro studies revealed that MLT selectively targeted endothelial cells with high NRP-1 receptor expression, suppressing endothelial-to-mesenchymal transition (EndMT) via inhibition of TGF-β/Smad and MAPK pathways activation. In a bleomycin-induced PF model, elevated NRP-1 expression enhanced fluorescence-labeled MLT targeting in fibrotic lungs, enabling MLT to exert dose-dependent anti-fibrotic effects through EndMT suppression and significantly improve survival in PF mice. Furthermore, in vivo imaging showed that MLT-loaded peptide-lipid nanoparticles (M-pLNPs) formed a depot sustaining lung fluorescence for over 24 h, starkly contrasting with free MLT clearance within 6 h, which may contribute to comparable anti-fibrotic efficacy at a lower dose. Therefore, our results suggest a novel mechanism involving co-receptor blockade for the anti-fibrotic effect of MLT, highlighting its potential as a therapeutic candidate for PF.


Keywords:

EndMT; Melittin; NRP-1; Peptide-lipid nanoparticles.



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Moon Missions May Be Polluting Clues to the Origins of Life, Study Warns – Science News



Green Stars Galaxy Origin of LifeMethane released in exhaust could move from one lunar pole to the other in less than two lunar days, with roughly half of it eventually depositing in areas that may preserve the original chemical building blocks linked to the emergence of life on Earth. Over half of the methane released in exhaust from lunar landers […]



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🚀 Exciting Fully Funded PhD Opportunity in Medical Science! 👁️Sweden

Are you passionate about vision research and molecular biology? Linköping University is looking for a motivated PhD student to join a dedicated research team focused on finding a cure for Limbal Stem Cell Deficiency (LSCD), a rare corneal disease.

This role offers a unique blend of high-impact research, advanced biotechnology, and international collaboration.

What you will do:

  • Innovate: Investigate novel mechanisms and experimental therapies for corneal blindness.
  • Techniques: Utilize advanced sequencing, transcriptomics, in vivo imaging, and microsurgery.
  • Collaborate: Work within an EU project framework, including research stays at partner labs in Europe and North America.
  • Grow: Devote your time to doctoral studies while contributing to a world-class multidisciplinary team.

Who you are:

  • You hold a Master’s degree in biomedicine, molecular biology, or a related field.
  • You have strong lab experience (imaging, histology, protein/gene analysis).
  • You are a team player who thrives in international environments.
  • Experience with animal handling or FELASA certification is a major plus!

📍 Location: Linköping, Sweden

📅 Deadline: February 8, 2026

🔗 Apply here: https://liu.se/en/work-at-liu/vacancies/28337

Help restore sight and advance medical science. Apply today!

#PhD #MedicalScience #VisionResearch #Ophthalmology #ResearchJobs #Biomedicine #LinkopingUniversity #ScienceCareers

🚀 Exciting Fully Funded PhD Opportunity for Machine Learning Specialists! 🚀 Germany

Are you passionate about using Artificial Intelligence to solve high-impact biomedical challenges? The Institute of Medical Informatics at UKM (Universitätsklinikum Münster) is looking for a PhD Student (gn) in Machine Learning* to join Prof. Dominik Heider’s research group.

This role is part of the DFG-funded Collaborative Research Centre 1748, focusing on the “Principles of Reproduction.” You will work at the intersection of computer science and biology, developing innovative algorithms to understand the genetic and molecular mechanisms of life.

What you will do:

  • Develop cutting-edge ML methods (Explainability, Interpretability, and Causal Inference).
  • Design novel models for large-scale omics data integration.
  • Collaborate with an interdisciplinary team of biologists, physicists, and clinicians.
  • Participate in a structured PhD training program.

What they are looking for:

  • A Master’s degree in Computer Science, Data Science, or Medical Informatics.
  • Strong programming skills (Python, R, or C/C++).
  • Solid knowledge of statistics and algorithm development.
  • Motivation to work in an international, collaborative research environment.

The Perks:

  • Full-time position (TV-L E13 salary scale).
  • State-of-the-art computing infrastructure.
  • 3-year fixed-term contract in a vibrant scientific community.

📅 Application Deadline: February 11, 2026

Interested? View the full details and apply here: https://jobs-sf.ukmuenster.de/job/Universit%C3%A4t-M%C3%BCnster-PhD-Student-%28gn%29-Machine-Learning-Specialist/1283187401/

#MachineLearning #PhD #DataScience #Bioinformatics #MedicalInformatics #ResearchJobs #AI #Münster #STEM