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be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service, or similar circumstances, as well as clinical practice
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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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, Cybersecurity, AI, Machine Learning (ML), Data Science, or another closely related subject, no more than three years before the application deadline; has documented knowledge of AI and ML; has demonstrated
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University. Salary will be determined in accordance with the current local agreement for teaching assistant positions. The position corresponds to 10% of full-time employment, starting on 1 October 2026 or by
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conducting his/her own current research. Research expertise is demonstrated by publications in international scientific journals, competitive grants, and experience in national and international research
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teaching and/or industry experience). A copy of your Master thesis (if not finished at the time of application, please send a current draft or an executive summary of it) and, where applicable, other
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with substantial experience in experimental in vivo neurophysiology. The applicant is required to: Hold a PhD degree in Neuroscience or another field closely related to the current project. Have
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, multi-omics analyses and systematic bioinformatics techniques is a strong advantage. Excellent programming skills (Python/R) and a solid training in AI or machine learning are highly preferred. A strong
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research environment that promotes cross-sectoral encounters and scientific collaborations, actively striving to address current societal challenges through knowledge development and education. We serve as a
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risk assessments, omics analyses and advanced statistical analyses and machine-learning techniques. Work duties and responsibilities The main task for a doctoral student is to devote yourself to your