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with the recruitment of 25 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program
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, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid academic background with thorough computational and analytical understanding; Proficiency in programming in Python
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described. The project has three main objectives: (1) Use simulation models to make inferences on the role of sex ratio selection on sex chromosome evolution in a different meiotic drive scenarios, (2
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study design, conduct high-quality omics analyses and statistical and machine-learning based modeling, as well as gaining a deeper understanding in extracellular vesicle biology. Work duties and
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for sensitive personal data is a merit, as well as experience of AI model validation and/or interpretability. About the employment This is a full-time, indefinite-term employment with a six-month probationary
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will address is whether pre-diagnostic metabolic dysfunctions reflected via various levels are associated with pancreatic cancer and could be implemented in future multimodal risk models. The project
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and further develop its research and education in this area. The department has purpose-built infrastructure for advanced metabolic studies in mouse and rat models. The successful candidate is expected
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of reproducible code by using code sharing platforms, version control, workflow languages and container solutions is a merit. Experience in training deep learning-based models on HPC-resources is also meriting. A
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model organisms, their application in conifers remains limited due to challenges associated with tissue structure, nuclei isolation and sensitivity to inhibitory compounds. This project aims to develop