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The Faculty of Biosciences at Heidelberg University invites applications for a Tenure Track Professorship (W1 with Tenure Track to W3) “Organismic Plant-Environment Interactions” (f/m/d) and a Full
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culturing, integrating multiple automated subsystems with image-based machine learning models. Our objective is to enable robotic decision-making through machine learning, paving the way for a standardized
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microscopy should not be the main focus. The candidate should demonstrate a strong track record in research, teaching, and the acquisition of third-party funding. They should possess collaborative skills and a
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modeling. Central to its objectives is the development of methods for monitoring and culturing tailor-made organoids, assembloids and co-organoids for inter-organ communication towards AI-supported large
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projects and deadlines Scientific track record Fluency in English; German proficiency or the willingness to learn is advantageous Familiarity with data-analysis / scripting tools (e.g. SCiLS Lab, METASPACE
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opportunities for cooperation projects with clinics and researchers at a high international level. Applicants should have a proven track record of outstanding scientific achievements, successful third-party
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international level. Applicants should have a proven track record of outstanding scientific accomplishments, successful acquisition of third-party funded projects and international research experience in
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The Faculty of Biosciences at Heidelberg University invites applications for a Tenure Track Professorship (W1 with Tenure Track to W3) “Organismic Plant-Environment Interactions” (f/m/d) and a Full
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synthesis and theoretical calculations, the TACY team will use a new synergistic approach to solve this long-standing problem. Objective is the synthesis of cyclacene precursors and polycyclic aromatic
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, on surface synthesis and theoretical calculations, the TACY team will use a new synergistic approach to solve this long-standing problem. Objective is the synthesis of cyclacene precursors and polycyclic