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. Candidates should hold a PhD degree in a relevant area. Of particular relevance: Experience with RNA work and cellular laboratory models will be an advantage. Demonstrated record of international publications
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. Candidates will participate in joint weekly meetings, contribute to co-authored publications, and be expected to produce three single- or co-authored articles. Requirements Applicants must hold a PhD in
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. Required qualifications for the position: PhD degree in geophysics, physics, engineering, or similar. In-depth experience and proven expertise in electromagnetic forward and/or inverse modelling. Strong
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external partners Engage in teaching as required Essential Qualifications PhD in molecular biology, epigenetics, chromatin biology, genomics, cancer biology, biochemistry, developmental biology or related
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colleagues and researchers Essential qualifications PhD in neurobiology, cell biology, molecular biology, epigenetics or biochemistry. At least one first-author publication, accepted or submitted. Previous
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Postdoc position in Materials Characterization for Additive/Subtractive Manufacturing and Sustain...
documentation and teaching modules for industry and engineering students. Your profile A PhD in Materials Science, Mechanical Engineering, Metallurgy, or a related field. Proven experience in experimental
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documentation and teaching modules for industry and engineering students. Your profile A PhD in Materials Science, Mechanical Engineering, Metallurgy, or a related field. Proven experience in experimental
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consortium’s strategies here and original articles here (antibodies) and here (screening). Your profile Applicants should hold a PhD in experimental protein science, preferably with experience in biophysical and
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of qualifications (examination certificates/PhD diploma, etc.) Complete list of publications indicating the publications attached Applicants may choose a maximum of two publications for assessment. For any
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partners Engage in teaching and supervision as required Expectations of qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in