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Field
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scalable web applications and design robust RESTful APIs that serve as the bridge between user interfaces and backend applications, AI services, such as LLMs and semantic search engines. The role requires
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. You will develop a high-fidelity 3D model of submerged Lower Nubian villages and build a Retrieval-Augmented Generation (RAG) pipeline in Google AI Studio Pro to create voice-enabled AI agents grounded
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on Rails. Strong knowledge of web application architecture, database management (SQL/NoSQL), and API development (RESTful or GraphQL). Strong knowledge of cloud platforms such as AWS, Google Cloud, Azure
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or JavaScript Data integration experience (using both CSV batches and APIs) Ability to build reporting dashboard templates using a tool such as Google Data Studio, Sas Visual Analytics, Tableau, etc. Strong
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, Matplotlib, Seaborn, Keras, TensorFlow, PyTorch) Systems & Networking: C, C++ (TCP/IP Protocols, LAN/WAN/MPLS Systems) Cloud Services: Google Firebase (Firestore, Auth, FCM Messaging), SQLite, RESTful APIs
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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thorough knowledge of the REDCap, REDCap custom modules, the REDCap API, Tableau, the Twilio API, the Google Maps API, and NIH RxNorm API. (5%) Contribute to the writing of publications; develop
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(or equivalent version control system) and working within a team setting, implementing branching strategies. Experience with developing and consuming RESTful APIs. Experience with administration of Google
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
Python or Java script familiarity with the following tools will be highly appreciated: Monfgo DB , React an dreact workflow, Google API´s, Pytorch Professional Experience: Programing in PYTHON/C languages
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on the multiple solutions platforms in a specialised environment. This may include front-end web application platforms, back-end web application frameworks, cloud-based infrastructure platforms (e.g., AWS, Google