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international environment consisting of PhD students, postdocs and teachers coming from all corners of the world. Research and teaching are conducted in an open and progressive atmosphere with challenges and
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, writing, and presentations Qualifications Required Qualifications: ● A PhD degree in Neuroscience or a related field who possesses a strong laboratory background and communication skills. Preferred
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statistical evaluation Machine learning analyses: implementation of established and new workflows Coordination of activities with Consortium partners, including presentation of results at consortium meetings
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qualities You hold either PhD in deep learning techniques and an interest in climate science, or a PhD in Meteorology or Climate Science having clear experience with deep learning techniques. You possess
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multimodal deep learning models that integrate imaging and clinical data to personalize treatment and follow-up strategies. In the Netherlands, around 75% of patients with an abdominal aortic aneurysm (AAA
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experience in scholarly research and a strong commitment to excellence in education are encouraged to apply. PhD is required. Applicants must apply online at https://www.princeton.edu/acad-positions/position
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experience in scholarly research and a strong commitment to excellence in education are encouraged to apply. A PhD in Materials Science, Optics, Physics, Chemistry, Electrical, Chemical, Mechanical, Civil
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. Individuals with evidence of experience in scholarly research and a strong commitment to excellence in education are encouraged to apply. PhD is expected by the start date. Applicants must apply online
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: • PhD in molecular biology, biochemistry, biotechnology, immunology or related field • Proven wet lab experience in NGS, qPCR, Western blotting, or immunofluorescence, molecular biology, cell culture
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postdoctoral and PhD researchers on the team*Interest in developing and applying Large Language Models (LLM) and spatial Machine Learning (ML) modelsSalary and full employee benefits are offered in accordance