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memory, soft robotics, tele-operated systems, lightweight space structures, and turbulent flows Ongoing and prior work in related areas by the Chair in Nonlinear Dynamics can be found at the group website
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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of methods, including semi-structured interviews, diary-based methods (Experience Sampling Method), scenario-based judgement tasks, attitude scales, and parent-child joint problem-solving and narrative
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combinations that support the creation of innovative and sustainable food products. Another example is using large language model (LLM) tools to automatically extract and structure fragmented information from
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structure visualization tools (PyMOL, ChimeraX, or similar) Rosetta or other protein design software Our offer A fully funded PhD position with an attractive salary. A dynamic, highly stimulating, and
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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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hosts several research groups in pure and applied mathematics and offers a dynamic and collegial academic atmosphere. More information about the department can be found at https://math.au.dk . Place of
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University Hospital Essen, Collaborative Research Centre 1752 | Essen, Nordrhein Westfalen | Germany | 2 months ago
Join CRC/SFB 1752 "DYNAMO" – Immediate Tumor Dynamics in Melanoma Therapy The newly established DFG-funded Collaborative Research Centre CRC/SFB 1752 “DYNAMO” offers exciting career opportunities in
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opportunities. https://www.rmit.edu.au/about/governance-management/rmit-structure/research-innovation/graduate-research To Apply Please submit your CV and covering letter addressing your suitability
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programs. More than 104,000 Wharton alumni form a powerful global network of leaders who transform business every day. Wharton is home to a dynamic community of staff, bringing a wide range of skills