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patient samples. The Sheffield arm of the project will develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung
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. Develop an international network: Gain invaluable insights through collaborations with renowned international academics. Become a member of the scientific community: Attend and contribute to regional and
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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with data processing using EddyPro software, and the ability to perform statistical analyses in an R environment. A valid driver's license is required. As set forth FCT Research Scholarship Regulation
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to establish a theoretical framework for body image education in low- and middle-income countries, through the delivery and evaluation of a culturally-tailored intervention in multiple populations undergoing
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products for a sustainable future”. The project aims to develop a thorough understanding of consumers’ psychological processes concerning product imperfection, and sustainable solutions for products with
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, biophysical characterization, mass spectrometry (MS)-based proteomics, and functional studies. Under the joint supervision of Assoc. Prof. Timothy P. Jenkins and Asst. Prof. Konstantinos Kalogeropoulos, you
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academic success”, led by prof. dr. Sible Andringa and funded by the Netherlands Initiative for Education Research (NRO). This project consists of three interconnected projects. The first develops tools
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The Department “Genes and Environment” (lead by Prof. Dr. Dr. med. univ. Elisabeth Binder) at the Max Planck Institute of Psychiatry in Munich is offering a position as a PhD Student (m/f/d