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tissues. An integrated interdisciplinary approach has the potential to dramatically accelerate healing and optimize functional recovery following a range of tissue damage levels and even help prevent
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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on finishing up studies (30% effort) and drafting (50% effort) of two manuscripts exploring optimization of immune editing methodologies. The postdoc will also dedicate effort (20%) to collaborations with other
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) Application Deadline 12 Apr 2026 - 00:00 (UTC) Country Morocco Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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:00 (UTC) Country Italy Type of Contract Other Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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Design Design, execute, and optimize experimental protocols related to wound healing, tissue regeneration, and fibrosis. Lead studies utilizing animal models under IACUC-approved protocols. Apply advanced
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perturbation models across diverse single-cell datasets Collaborate closely with Helical-AI on scaling, optimization, and integration of the developed models within an HPC-enabled industrial pipeline Publish
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17 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Electrical engineering Engineering » Other Physics » Applied
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, assesses findings, and compiles comprehensive reports. Maintains instruments, develops new methods, and optimizes existing ones. Keeps meticulous records of procedures and research findings. Demonstrates
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, the main objective of the project in which the postdoctoral candidate will be integrated is to explore how the configuration of an area of microbatteries can be optimally designed to obtain the best coupling