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targeted ultrasound delivery, advanced neuroimaging, and closed-loop control. The primary objective of this postdoctoral/PhD project is to advance the chemical formulation and engineering of ultrasound
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competencies Education You should have completed within the past five years, or be close to completing, a PhD in aerospace engineering, mathematics, physics, computer science or a related field. A PhD in space
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to a Norwegian doctoral degree (PhD) within Marine engineering, applied mechanics, physics, computer science or similar fields; or must have submitted his/her doctoral thesis for assessment prior
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‑on experience in AI / machine learning development (excluding PhD); proven expertise in machine learning and generative AI methodologies (in the range of: LLMs, RAG systems, agentic AI, feature engineering, model
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sensitive and restricted data. Advanced knowledge of data engineering and management systems, including Python and/or R, SQL, version control, APIs, cloud or high-performance computing, reproducible pipelines
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with academic, industrial and project stakeholders. For more details, please check the Graduate Schools Admission Requirements: https://www.tudelft.nl/onderwijs/opleidingen/phd/admission . TU Delft
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is suited to candidates with a PhD awarded or close to completion (or equivalent experience), in electrical machines, drives, control, real-time simulation, or a closely related engineering discipline
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professors in the Systems Engineering Division at the College of Engineering is $225,000-$275,000. Applications received by November 15, 2026 will be given full consideration. Please submit to https
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technologies, and sequencing quality control metrics is essential. This is an exciting opportunity for a researcher who enjoys working at the intersection of science, technology, and collaborative discovery
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for Quantum Information and Control, and the Center for High Technology Materials, among others, and it is near Sandia National Laboratories, Kirtland’s Air Force Research Laboratory, and Los Alamos National