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expected to integrate existing and new datasets into publishable manuscripts. Your profile The successful candidate must have: - A PhD in a discipline such as Environmental Sciences, Ecology, Forestry
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are seeking a postdoctoral researcher with a PhD in AI-based computational pathology, or related field, with experience in development or application of deep learning methodologies. Knowledge and expertise in
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. Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position. This eligibility requirement needs to be
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, genotyping, immunohistochemistry, RNA in situ hybridization and statistical analyses. Qualifications The ideal candidate should have a PhD in molecular or developmental biology, neurosciences, photoreceptor
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required to have a PhD degree or a foreign degree that is deemed equivalent in Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experiences in
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participating in projects that collect and utilize agronomic data from forages and crop rotations, and (3) writing scientific publications and grant applications. Qualifications: Required: A PhD degree in a
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to illness, parental leave, clinical service, trade union duties or similar circumstances. The PhD degree should be in a computational or life science field, such as bioinformatics, ecology, mathematics
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the produced spectral data. Scientific writing Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD
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. There will be considerable freedom in developing your own research projects based on the data we generate in the project. Qualification Requirements. We are looking for a candidate with a PhD and postdoctoral
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service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. The successful candidate should have a PhD in terrestrial ecology