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reporting. Candidates must have a PhD in MatSE and experience in mechanics of materials, computational modeling, and experimental characterization of materials. Candidates should submit a CV and cover letter
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engage in personal development opportunities to support your career development. You should have a PhD in nutrition, public health nutrition or a related field (i.e. nutrition related) and minimum
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. Candidates must have a PhD in MatSE and experience in developing phase-field models of microstructures and properties by start date. This term position is funded for one year from the date of hire with
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lab in Stanford’s Psychiatry Department, led by Neir Eshel, MD, PhD. We are looking to hire curious and ambitious postdocs to join our team. Lab projects focus on the neural circuitry of reward-seeking
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or conferences. Minimum Qualifications Candidate must have a PhD completed in the field of neuroscience or neurophysiology before anticipated start date. Preferred Qualifications FLSA Exempt Full Time/Part Time
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publications, conferences, and internal reports Provide mentorship and guidance to graduate and undergraduate researchers involved in related projects Position Requirements Recent or soon-to-be-completed PhD
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, instrumentation, modeling, and data science Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field(s) of materials science, physics, computational science, or a related field
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metabolomes (targeted and untargeted) and plant transcriptomes In addition to collaborating with project partners, you will join an active and expanding community of PhD and Postdoc students in the plant
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an elephant or a tumour. Here, we propose to understand the relevance of this mechanism during tumorigenesis in collaboration with the Clatterbridge Cancer Centre. You should have a PhD (or about to
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis