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Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base. 3 - Profile What do we expect from you? You hold a Master degree in the fields of (digital) humanities or social sciences
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-cell spatial transcriptomics and protein data in paired prostatectomy samples and lymph nodes in prostate cancer, and to develop a novel method to classify lymphovascular invasion in primary breast
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contact the main supervisor, Dr Kaitao Meng [email protected] . Please include details of your current level of study, academic background and any relevant experience and include a paragraph
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• Participate in the department’s research environment • Complete a PhD training programme • Teach at one or more of the department programmes Your main task as a PhD student will be to develop and complete a PhD
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an exceptional know-how and experimental methodology, in a high-level scientific environment. The context of frequency metrology requires to master and control the noise sources of the experimental setup as
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at the Faculty of Social and Behavioural Sciences has a job opening for PhD candidate. In the position of PhD candidate, you are responsible for conducting original research on computational models of semantic
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Master's degree in mathematics or equivalent. Your education must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master students can apply, but
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scientists (Master student, PhD student, postdoc, senior scientist), currently of six different nations, which are inspired by working together on solving technical challenges to advance fundamental questions
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programme will be shaped collaboratively with your supervisor and is expected to produce multiple refereed journal papers. It consists of three main sub-projects: A New Determination of the Cosmic Star
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
of neuromorphic functionality. The primary goal is to identify the physical mechanisms underlying adaptive behaviour and to establish predictive theoretical models. Surrogate models may be employed to accelerate