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PhD position / Postdoc position (all genders) in AI for biomedical data analysis Full time/ Part time | Temporary | Hamburg-Eppendorf UKE_Zentrum für Molekulare Neurobiologie (ZMNH) Better together
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catalysts for C–H activation, or Development of quantum chemical methods for transition metal systems, with a particular focus on methods for large, complex systems (proteins, enzymes, and condensed phases
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understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, particularly by leveraging large language and vision
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-supported research infrastructure. Our group develops computational and statistical methods for large-scale genomic, clinical, and phenotypic data and collaborates closely with partners in computer science
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or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and
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advanced data science, using state-of-the-art human stem cell models to uncover previously unrecognized environmental risk factors for Parkinson’s Disease. You will, in close collaboration with a PhD student
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complex biological data into mechanistic insights with direct relevance for therapeutic and diagnostic innovation. The laboratory is based at one of the world's leading medical universities and promotes
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: https://www.list.lu/ How will you contribute? This postdoctoral position is part of a large European project involving universities, research institutions, and industrial partners across Europe
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biostatistical methods to better personalize treatment of cancer patients from deep and diverse types of biomedical information. Analysis of large‑scale clinical, genomic, and molecular datasets. Development and
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. Weinstein (DTU Chemistry) to develop novel molecular ML methods and use them to control, steer, and learn from large scale wetlab experiments. You will deploy these methods in collaboration with Prof. Katrine