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, the department is actively engaged in advancing statistical models and software development for analyzing cross-sectional, longitudinal, and multilevel network data. The ideal candidate will be an early-career
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, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML (Random Forest, SVM, Fully Connected Neural Networks) will be essential
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universities and networks worldwide to become a truly global center of knowledge, situated in the vibrant city of Groningen in the north of The Netherlands. Qualifications We are looking for candidates who meet
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candidate will be an early-career scholar with a PhD in the social sciences with a primary focus on social network analysis and the influence of young people on each other’s behavior. We seek candidates who
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universities and networks worldwide to become a truly global center of knowledge, situated in the vibrant city of Groningen in the north of The Netherlands. Qualifications The successful candidate
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(Random Forest, SVM, Fully Connected Neural Networks) will be essential for feature selection, model training, and biomarker ranking. Additionally, you will perform proteomics profiling of melanoma clones
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universities in Europe and joining forces with prestigious partner universities and networks, the University of Groningen is truly an international place of knowledge. Faculty of Economics and Business The
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their own individual talents. Belonging to the best research universities in Europe and joining forces with prestigious partner universities and networks, the University of Groningen is truly an international
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(Groningen), and the UK. This post-doc project offers a unique opportunity to work in an international environment and to acquire valuable research experience for someone who has recently completed a PhD in
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are looking for candidates who meet the following requirements A PhD degree in molecular biology or biochemistry. Familiarity with protein modeling tools and software solutions. Knowledge and skills in protein