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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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requirements: PhD in biological, chemical, medical, or related sciences, obtained within the last 5 years. The 5-year period is counted from the year of obtaining the doctoral degree – the beginning of
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. Responsibilities will include leading research projects, developing new protocols, mentoring others in the lab, presenting research outcomes, and publishing. The ideal candidate will have a PhD in biochemistry
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limited to one year with the possibility of extension. The research assistant position may potentially lead to the opportunity to begin a PhD position based on the candidate’s career stage and wishes. We
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chromosome-level genome assemblies. 15% Writing: Contribute to scientific manuscripts, progress reports, and collaborative research efforts. 5% Professional Development. Requirements PhD Degree in
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/Biotechnology PhD in Biology/Entomology Oral and written skills in English language More than 3 years’ research experience in resistance mechanisms in Spodoptera frugiperda strains Desired qualifications: Working
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cytometry • Bioinformatics (R ) • Analytical reasoning ability, organization skills, team spirit • 0 to 7 years experience after PhD Additional comments Contact: anne.hosmalin@inserm.fr Duration: 12 months
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classifiers Collaborating closely with bioinformatics cores and international project partners Mentoring PhD students and contributing to grant applications You will report to the Assistant Professor Xiang
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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conducting collaborative research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology