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Field
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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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attention to detail and ability to convey complex information in a clear and user-friendly format (submitted products will be used as the basis of this evaluation). Proven communication and time management
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transportation networks. In particular, the successful candidate will conduct cutting-edge research in: Adaptive incentive mechanism design for complex sociotechnical systems Strategic learning and equilibrium
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will contribute to the development of novel concepts and proposal writing, while efficiently addressing complex challenges. Responsibilities will include writing reports, authoring publications, drafting
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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences
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. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity
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biological data analysis. Knowledge of network science and/or complexity sciences. Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a
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Engineering offers competitive salaries, full benefits, an extensive support network, and above all, an enriching and highly collaborative working community that is deeply passionate about our vision for higher
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on applications to complex, dynamic systems. Design and simulate feedback control algorithms for thermo-mechanical systems and related applications. Collaborate with faculty and student teams to support control
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of more than 6 billion euros, the Helmholtz Association is Germany’s largest scientific organization. The name Helmholtz stands for concerted research, in which networks form the key principle behind inquiring