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engineering, mechatronics etc. The PhD degree must be awarded no more than three years prior to the application deadline. Required skillset Analytical understanding of Reinforcement Learning, Dynamics and
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. Under special circumstances, the doctoral degree can have been completed earlier. Additional requirements: Experience in analytical methods based on liquid chromatography Good knowledge of fundamental
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, and committed to meeting high standards. Additionally, you possess solid analytical skills and approach complex problems in a structured and solution-oriented manner. The workplace You will work at the
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data reflect real‑world disease phenotypes. Advanced analytics: apply AI and machine‑learning techniques (e.g., graph neural networks, multimodal transformers) to uncover novel biomarkers and generate
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formulations as complementary model systems. Integrate experimental work with spin-diffusion modeling and other complementary techniques. Collaborate actively with AstraZeneca (model systems and analytical input
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corresponding functional analytic methods is required. Good knowledge of English (written and oral) is required, as well as strong collaborative skills and the ability to work independently. Prior experience with
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analytical skills and competence in handling large, complex datasets. We are looking for candidates with good communicative skills that thrives in international and cross-disciplinary settings. Therefore, good
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samples. Qualifications Requirements for employment are: - PhD in cancer research or stem cell biology - Research experience in genetics - Good analytical skills, high motivation and good collaborative
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accustomed to teaching, and to demonstrate good potential within research and education. Excellent analytical and communication skills, both oral and written. *The date on your doctoral degree certificate is
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An analytical approach Excellent written and verbal communication skills in English, as it is required in daily work Teaching abilities Awareness of diversity and equal treatment issues with a particular focus on