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preclinical in vitro and in vivo models Supervise and mentor MSc/MD/PhD students Collaborate with national and international research partners Present your results at scientific meetings Publish your findings
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professional references Special Schedule Requirements EEOC Statement Export Control Statement Qualifications Education & Experience PhD in materials Science, Mechanical Engineering and experience in Metal AM
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completion of a PhD in Psychology or a relevant area along with experience of collecting data from research participants. With excellent data analytic skills, you will be familiar with SPSS and at least one
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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expected to be bioinformatic in nature. Applicants must have a PhD in a relevant subject, experience of macrosynteny analysis and phylogenetic analysis of gene families, and a thorough knowledge of animal
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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. About the role To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD (awarded or thesis submitted) in Addiction Experience in
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collaboration with our clinical colleagues for investigating visual motion in a group of healthy subjects. The successful applicant holds a PhD degree (or equivalent) in a relevant academic area such as applied
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) at Central China Normal University (CCNU) invites applications for a postdoctoral research position in lattice gauge theory, with an emphasis on computational and algorithmic advancements. This role will
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, and abroad. Required qualifications: The candidate should have a PhD in condensed matter physics, with strong background in high vacuum, cryogenics, electronics, transport and magnetic measurements