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Field
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Machine Learning, and has over 30 PhD students, postdoctoral researchers and faculty members working on a broad variety of deep learning, computer vision, and foundation model subjects, like self-supervised
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Teaser Text We are looking for an enthusiastic and highly motivated PhD-candidate who is eager to study the ecotoxicological safety of nano-embedded medicines and their degradation products. You
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learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts. For example, we would like to be able
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recent advances in machine learning and browser automation, the project aims to provide tools, techniques and datasets to effectively address these threats. As a PhD candidate, you will play a key role in
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machine learning techniques. A team player who enjoys coaching PhD and Master's students and working in a dynamic, interdisciplinary team. A proven ability to manage complex projects to completion
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work in our multi-disciplinary team, including AI-experts, MRI-physics experts, and clinical experts. You will conduct new academic research combining machine learning and medical physics. Your research
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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning
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? The Biomedical Diagnostic (BM/d) Lab at the Eindhoven University of Technology (TUe) is seeking an PhD candidate to work in close collaboration the Center for Sleep Medicine Kempenhaeghe and Philips Sleep
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& Image Sense lab (VIS lab), at the University of Amsterdam. VIS lab is a world-leading lab on Computer Vision and Machine Learning, and has over 30 PhD students, postdoctoral researchers and faculty