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Cancer Treatment Outcomes”. Within the Department of Biomedical Sciences (DSBM) at the University of Sassari (UNISS), our research group, led by Prof. Sergio Uzzau, investigates the functional roles
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Sustainable Decision Making (Prof. Dr. Clemens Thielen), which is located at the TUM Campus Straubing for Biotechnology and Sustainability (TUMCS) and affiliated with the Department of Mathematics. The expected
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of market mechanisms and market transactions. You will work closely with the project leaders, Prof. Dr. Vitali Gretschko (University of Münster) and Prof. Dr. Peter Werner (Maastricht University), and join a
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leaders, Prof. Dr. Vitali Gretschko (University of Münster) and Prof. Dr. Peter Werner (Maastricht University), and join a vibrant international research community in behavioral/experimental economics and
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application-oriented research that unlocks the potential of data through rigorous analysis – advancing solutions in societally relevant domains. Your profile Master’s degree in Statistics, Industrial
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, including: Genomic technologies – hands-on experience in long-read sequencing and variant interpretation Bioinformatics – pipeline development, visualisation, and statistical modelling PRS – applying big data
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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statistics of environmental properties, and are you not afraid of a challenge? Then this vacancy is just right for you! Your research will contribute to effective environmental monitoring and mapping. When we
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-analysis pipelines (statistics, mathematical modeling, and ML) for terabyte-scale 3D histology images, from preprocessing to analysis and validation. Handle and visualize large 3D microscopy datasets. Image
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on the topic assigned for each position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA