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from a technical and scientific perspective. The Ph.D. candidate will develop methods for uncovering DNS infrastructure dependencies at scale, relying on active measurements and graph-based analysis
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for listening and reading. Experience in working with human participants, strong technical skills, and experience with data and statistical analysis. Experience in neurostimulation (e.g. transcranial magnetic
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; Environmental Policy Analysis; Environmental Geography; and Water and Climate Risk. IVM is part of the Faculty of Science at Vrije Universiteit Amsterdam ( www.ivm.vu.nl ). This position is based within
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achievements in the field of physical sciences documented by publications in renowned journals 2. Additional Requirements: 1) statistical analysis of large data sets 2) knowledge of machine learning 3
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the field of physical sciences documented by publications in renowned international journals, including achievements in elementary particle physics 4) knowledge of issues related to data analysis in the LHC
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motion) Pose tracking and behavior segmentation with tools like DeepLabCut, MoSeq, and Kinect-based systems Longitudinal analysis of behavior from early postnatal to adolescent stages in
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motion) Pose tracking and behavior segmentation with tools like DeepLabCut, MoSeq, and Kinect-based systems Longitudinal analysis of behavior from early postnatal to adolescent stages in
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
real-time analysis of electrochemical processes, developed in the Department of Electrocatalysis, will be applied by You to discover and develop novel Organic Electrosynthetic Protocols. Your tasks
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transcriptomics, and large-scale transcriptomic data analysis. In addition, the candidate should have experience in using mouse tools to study conserved mechanisms in mice. Finally, a deep understanding of the
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research experience in state-of-the-art hydrogeophysical methods, hydrological modelling, soil flux analysis, and be able to work in an international team with world-leading scientists. The PhD student will