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environment, to assist trainees, and present their work in shared lab meetings and external meetings. Highly motivated individuals holding a PhD degree, preferably in virology, are encouraged to apply. The lab
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partners, and participation in project meetings and dissemination activities Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Materials Science, Applied Physics
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for work in high-level scientific positions. A PhD degree is required. The postdoctoral fellow is expected to contribute to ongoing, primarily empirical projects at Skatteforsk as well as start new projects
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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
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Universiteit Amsterdam welcomes applications for a two-year Postdoctoral position in Reinforcement Learning for Stochastic Optimization. The candidate is expected to conduct high-quality research
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biology and gene regulation, and how this position fits into your long-term career goals. Qualifications Required Qualifications, Competencies, and Experience: • PhD, or equivalent degree, in biochemistry
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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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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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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