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Field
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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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may be taken into consideration. A suitable candidate will have a PhD in computer science, statistics, sociology, economics, political science or a corresponding subject of relevance to computational
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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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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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addition, you should meet the following requirements: Hold a PhD degree in biology, ecology, analytical chemistry or equivalent Educational and professional qualifications relating to the scientific area of
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pages). A curriculum vitae that documents academic education and past and previous employments. A list with your publications. A copy of the PhD certificate and other relevant degree certificates. Names
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list with your publications. A copy of the PhD certificate and other relevant degree certificates. Names and contact details with e-mail addresses of two or three academic references. Other relevant
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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contact details of at least three references; and 4) a PhD degree certificate. Union representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering
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completed a doctoral degree, or a foreign degree that is considered equivalent to a doctoral degree, in biomedical or physical subjects relevant to the execution of the project. This eligibility requirement