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Field
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dark-field STEM imaging, energy dispersive X-ray spectroscopy (EDS) and electron energy loss spectroscopy, at the intersection of electron microscopy, software engineering and machine learning. Major
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/stroke/recovery.html (link is external) How to Submit Application Materials: Email the required application materials to marionb@stanford.edu (link sends e-mail) Does this position pay above the required
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Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in demography, epidemiology, public health, or a related discipline in the social sciences
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surveillance and preparedness planning using multiple modeling approaches. The successful candidate will develop and implement statistical and machine-learning models, integrate multi-source ecological datasets
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kinetic models and their hydrodynamic limits. Dispersive phenomena in kinetic theory. Quantum gases. Applicants must hold a PhD degree in mathematics, physics or a related field. We seek candidates with
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project partners in a defence and space R&D framework Is Your profile described below? Are you our future colleague? Apply now! EU or NATO citizenship Education PhD in Materials Science, Physics, Chemistry
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Job Description Required Qualifications: (as evidenced by an attached resume) PhD degree (or foreign equivalent) in Biomedical Sciences or a closely related field. Strong competence in Molecular Biology
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. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students. Applicants must have a PhD in psychology, cognitive neuroscience or a
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intelligence, and multimodal learning. The main objective of this position is to develop novel generative AI methods for computer vision applications, with a particular focus on Diffusion Models and Vision
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-Doctoral Associate appointment must have received a Ph.D. in chemistry or related subject or be within a few months from completion, and with no more than five years post receipt of their PhD. Applicants