102 phd-in-computational-mechanics-"Prof"-"Prof" Fellowship positions at Nature Careers
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technologies to study disease mechanisms and develop innovative therapeutic approaches for dementia and motor neuron diseases. Why join the Zhu Lab? Leadership level role in independent and collaborative
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Postdoctoral Research Fellow - Leukemia and Epigenetics Dana-Farber Cancer Institute Boston, MA Full Time Overview The Heikamp Lab at Dana-Farber is seeking a highly accomplished PhD candidate
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We are recruiting a Research Fellow to join Professors Spinazzola and Holt's research group to investigate the mechanism of action of compounds that could serve as treatments for mitochondrial
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research programme at King’s, focussed on establishing a competitive research niche and positioning them to apply for intermediate-level post-doctoral fellowships to consolidate their careers, from Research
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The University of Toronto is pleased to announce the third call for applications for theEric and Wendy Schmidt AI in Science Postdoctoral Fellowship , a program of Schmidt Sciences, which brings
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projects that leverage our optical expertise to probe brain function Preferred Qualifications & Expertise: PhD in neuroscience, bioengineering, computational biology, or related field At least one strong
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Supervise students on research-related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake
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, pharmacy, biotechnology or bioengineering. Open to PhD students, PhD, Post-Doc and residents. Permanent positions such as Professors cannot apply. For the entire duration of the grant, applicants must be
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-scale genetic variability, archaeal diversity and microbial lineages involved in anaerobic diagenesis. You will also be involved in the supervision of PhD, Master and Bachelor students, and assist in
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organoids will be plus. Dry lab: Highly motivated candidates with a PhD/MD degree in bioinformatics, genome science, systems biology, biomedical informatics, computational biology, machine learning, data