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, actively engaging in scientific discussions and joint research initiatives. You will work here The research is embedded within the chair Artificial Intelligence which is led by Prof. Ioannis Athanasiadis
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others. The candidate will develop the complete model pipeline (training, optimization, embedding, benchmarking) on resource-constrained systems. Furthermore, she/he will also address the mechanical and
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instrumentation of technical processes and systems, with close connection to applications and applied research. Project description Your work will be embedded into a cutting-edge research project dedicated
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HBIGS Heidelberg Biosciences International Graduate School | Mannheim, Baden W rttemberg | Germany | 4 days ago
your application exclusively through the HBIGS application system: https://www.hbigs.uni-heidelberg.de/en/your-application Additional comments Given the interdisciplinary nature of the project, the PhD
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• Position: TV-L E13 (65%), with the opportunity to pursue a doctoral degree (PhD) • Start date: from July 2026 • Research community: The position is embedded in the BioSysteM Cluster of Excellence, offering
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of renewal based on performance and availability of sponsored research funding. Key Responsibilities ● Lead research projects in embedded systems security under the supervision of the PI, including
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Internal Number: JR002083_1775737983 Training Delivery Facilitates training courses, both on-site and virtual, for all employees across the College. Coordinates and delivers all new hire and embedded
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10 Apr 2026 Job Information Organisation/Company Center of Genomic Regulation Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
: 265566 Vacancy ID: PDS003971 Position Summary/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https
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competitive MSCA-PF proposal within a strongly translational and interdisciplinary research environment. Scientific Context Deciphering how metabolic stress becomes biologically embedded within cellular systems