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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
the Excellence Cluster of Immunosensation2 in Germany (www.immunosensation.com). Requirements: PhD degree in life sciences (biology, biomedicine, immunology or comparable studies) Scientific background in
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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association under the auspices of Mohammed VI Polytechnic University. Created in 2007, it aims to promote and develop technological research clusters in the fields of materials and nanomaterials, biotechnology
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the collective agreement Supervision of students and PhD students Participation in external fundraising activities Involvement in the organisation of meetings, conferences, symposiums Involvement in the department
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science, and two more are for photoemission and electron-ion coincidence studies on gases, clusters and liquids. There is also a port for the user-defined experiments. A description of the beamline can be
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the strengths of modern biotechnology and computational tools to address essential questions in life sciences including plant biology and crop sciences. Required Qualifications PhD degree in genetics, genomics
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dynamic molecule clusters during gene expression to study the formation and function of these assemblies in gene regulation. We want to recruit postdoc who is familiar with any of the following topics
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writing, scientific communication, and laboratory leadership. You will attend local and international scientific conferences. Your profile Applicants should hold a PhD in neurobiology or proteomics
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writing, scientific communication, and laboratory leadership. You will attend local and international scientific conferences. Your profile Applicants should hold a PhD in neurobiology or proteomics
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collaborative and interdisciplinary and the ability to work in a team is essential. About You The successful candidate will be expected to have a PhD degree in biological or computational sciences or equivalent