118 algorithm-phd-"Prof"-"Washington-University-in-St"-"Prof" Postdoctoral positions in Sweden
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years old at the most (excluding deductible time such as sick or parental leave). The applicant must have a PhD degree when taking up the position. Requirements: PhD in Ecology, Evolution or related areas
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will perform research with substantial experimental components that should be published in peer-reviewed international journals and at major conferences. The position will include supervision of PhD and
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for conferences, workshops, and collaboration with partners. Qualification requirements Appointment to a postdoctoral position requires that the applicant has a PhD, or an international degree deemed equivalent
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arsenic, but other metals such as iron, manganese, lead and cobalt are also being investigated. At the department, you would take part in a strong and active scientific environment with other PhD students
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includes the PI, a PhD student, and a research expert in bioinformatics. The workplace fosters strong international collaboration, with close integration with the Halberg Group at Copenhagen University
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: ambercofund.eu. Qualifications Minimum requirements are: Candidate needs to have a maximum 8 years after a doctoral degree (PhD), as required by the project Grant Agreement signed with the European Commission
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of living standards in the world. Virtually everyone in Stockholm can speak English and English is the only working language of the groups. Your profile To be eligible for employment as a postdoctor, a PhD or
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the postdoctoral appointment’s nature as a career-development position for junior researchers, we are looking for candidates who have completed their PhD no more than three years before the application deadline
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, PhD supervision, attending project meetings, presenting research results at conferences and workshops, and managing milestones and deliverables linked to MATISSE. Qualifications requirements
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers