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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 23 hours ago
Massachusetts Institute of Technology, Open Learning Position ID: Massachusetts Institute of Technology-Open Learning-MATH [#31838] Position Title: Position Type: Postdoctoral Position Location
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 23 hours ago
Massachusetts Institute of Technology, Open Learning Position ID: Massachusetts Institute of Technology-Open Learning-EECS [#31837] Position Title: Position Type: Postdoctoral Position Location
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 23 hours ago
Massachusetts Institute of Technology, Open Learning Position ID: Massachusetts Institute of Technology-Open Learning-BUSADMIN [#31840] Position Title: Position Type: Postdoctoral Position Location
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Senior Computational Biology Scientist in AI Protein Structure Prediction and Design to help build and translate AI‑driven capabilities for biologics design and protein engineering. The role combines
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(including Large Language Models and data-driven optimisation) with concrete industrial deployment. A profile comfortable with the challenges faced by industries in their transition towards Manufacturing 4.0
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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Design to help build and translate AI‑driven capabilities for biologics design and protein engineering. The role combines protein structural insight with hands‑on ML development: adapting and applying
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experience in data architecture, enterprise data modeling, or data engineering. Proven experience modernizing legacy data environments and designing cloud-native, AI-ready data architectures. Experience
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22 Mar 2026 Job Information Organisation/Company Umeå universitet Department Umeå University, Faculty of Science and Technology Research Field Computer science Researcher Profile Recognised
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switching in corresponding devices. In this project, we first plan to make optimized engineering of metal stacking involving light elements promoting the required orbital polarization and demonstrate