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Computational Biology, Machine Learning and Deep Learning for Computational Biology, Computer Science, Applied Physics and Mathematics, or a related field. - Strong background in protein modeling, structural
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from Prof. Ohno-Machado, to launch their independent scientific careers. Skills & Qualifications • Recently completed a PhD in a related field. If PhD award is pending, letter from the thesis advisor
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proposals or equivalent, with support from the faculty, to launch their independent scientific careers Skills & Qualifications • Recently completed a PhD in a related field. If PhD award is pending, letter
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candidates should send a CV and a statement that describes their suitability for this line of research, their research interests and their professional goals to Edward Stites, MD, PhD (email: research
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, contribute to the lab through teamwork and discussion and help to train, supervise, and mentor junior trainees. Minimum qualifications include: • PhD in molecular or cell biology, immunology, cancer biology
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independent research. The successful candidate will work in a team of fellow trainees in the lab. Learn more about the Tang lab at https://www.steventanglab.com. The Tang lab is committed to training
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professional deliverables ● Experience with causal inference, machine learning, and artificial intelligence is desirable ● Experience with clinical, EHR, or biobank data analyses is desirable
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. Studies incorporate approaches in both primary human immune cells and in vivo mouse intestinal model systems. Education and experience: Candidates must have a PhD or equivalent degree with a strong
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collaborative research hub. Examples of the practical impact of recently published original science in our lab is available at www.goshualab.com . Qualifications Minimum qualifications (#1-4): 1. PhD or MD-PhD
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modeling. However, interested candidates with a strong computational background and interest in getting involved in medical imaging and preclinical models are also strongly encouraged to apply. A PhD in