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invites applications for tenure-track (Assistant Professor) faculty positions. We are primarily interested in recruiting excellent candidates in the areas of: Machine Learning, including Formal Reasoning
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-performance training/inference systems, your contributions will be critical to our mission. We are hiring for multiple specializations within this role, and we encourage candidates with a deep passion for any
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platform, imaging platform, mass spectrometry platform and experimental animal platform. In line with international standards, HCLS runs the Tenure-track system and PI responsibility system and strives
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. Furthermore, he/she will participate in the development of computer vision algorithms for hyperspectral image analysis and mathematical models for knowledge inference, with the aim of estimating the key
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clear experiment tracking (configs, seeds, metadata). Documentation & reporting: write concise technical notes, prepare comparison tables/plots, and contribute to internal reports and a lightweight, open
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of PhDs, and undergraduate students (thesis defence, students follow up, etc) · Tracking of the activities of the AEMD Group (team members, thesis, publications, group activities, patents, and
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will perform research on foreign-accented speech processing. Research methods include behavioural measures and electroencephalography (EEG), optionally eye-tracking. The Doctoral Candidate (DC) will be
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-Neutrons4Buildings": 1- An updated Curriculum Vitae detailing track record to date and including a full list of publications. ( 75 %) 2- A presentation letter describing current and future research interests (max. 1
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-Neutrons4Buildings": 1- An updated Curriculum Vitae detailing track record to date and including a full list of publications. ( 75 %) 2- A presentation letter describing current and future research interests (max. 1
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health, materials, and others. The School of Life Science and Technology (SLST) invites applications for numerous tenure-track and tenured positions across all ranks in several academic disciplines