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Number: 170516 Minimum Education and Experience: Qualified candidates are required to have a PhD or an equivalent doctoral degree and experience in neuroscience, neurotoxicology, epigenetics, or other
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Information Theory. While excellent candidates with other research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in
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proven track record and an independent working style. Your Profile The successful candidate should have a PhD and should have a strong scientific background in electrophysiology and fiber photometry or Ca2
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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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opportunities to develop research profile, to travel to give demos and presentations, and to write academic papers. Candidates should hold a PhD degree in Computer Science or other relevant discipline. The
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, Duke University Biology Department to study how archaeal microbial communities respond to stress in hypersaline environments. A PhD in computational and/or experimental biology is required in fields
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papers and presenting work at seminars and conferences. Required Knowledge, Skills, and Abilities: PhD in physical chemistry, or a related field. Preferred Knowledge, Skills, and Abilities: Experience in
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). Manuscript preparation and presentation of results at national and international meetings. Required Knowledge, Skills, and Abilities: PhD in Chemistry, or a related field. Preferred Knowledge, Skills, and
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instrumentation. It involves supervising the research of graduate students and REU’s, conceiving, composing, writing and editing research proposals, scientific papers and research reports. Required Education: PhD
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. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable