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tailored to radiology workflows. Developing software tools that supports reliable model comparison, ablations, and useful documentation (for human users and agentic use). Communicating results effectively
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. Experience with phase retrieval algorithms, clean room use and e-beam lithography are beneficial. The candidate will be expected to participate at international user facilities and thus will be expected
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have or be expected to have a PhD with appropriate research experience in computer science, computational biology, biological or chemical engineering, chemistry, biochemistry, or a related field
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for embedded and GPU platforms. Collaborate with ARSPECTRA engineers and surgeons to create a complete AR guidance pipeline : tracking, SLAM, gaze, user interface Your profile PhD in machine learning
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integration of end-to-end healthcare connectivity solutions, combining devices/sensors, real-time data flows, edge/cloud processing and user-facing applications. • Supporting the configuration and validation
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: Completed PhD in a relevant discipline. Strong research background and competency in relevant research skills or areas for the post. Examples include: Demonstrated experience in microbial strain engineering
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feel free to ask us for feedback. Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account
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developing an independent research profile. Your profile The ideal candidate should preferably have: A PhD in landscape ecology, environmental science, geography, ecology, hydrology, environmental engineering
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in impact delivery. Requirements Essential Skills, Qualifications & Experience: Completed PhD in a relevant discipline. Strong research background and competency in relevant research skills or areas
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: Completed PhD in a relevant discipline. Strong research background and competency in relevant research skills or areas for the post. Examples include: Demonstrated experience in advanced microscopy analysis