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Field
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highly motivated student with strong scientific communication skills. You will be joining a dynamic department with broad interests in biotechnology and synthetic biology across all domains of life
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applications, agricultural monitoring and modeling, Agro-AI/ML, or digital twin. Instructions to Applicants: For full consideration, applicants must apply for the Research Assistant Professor at https
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transcriptomics of callus lines and suspension culture; analysing data by bioinformatics and coordinate data exchange; write and publish your research in leading scientific journals, and communicate your findings
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, a professional work attitude, and a proactive and self-driven work ethic are expected. The candidate must be able to fluently communicate in English (oral and written) and be willing to work in a
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of the war affect the organization of the fighting parties? More information about the project can be found here: https://www.sv.uio.no/isv/english/research/projects/wow/index.html The PhD Fellow is expected
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workspace (including a computer) in one of the offices dedicated to PhD students, access to equipment available for loan within the laboratory (such as a digital recorder), and full access to the University
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founded by the Hasso Plattner Institute (HPI) and the University of Potsdam. HPI Research School "Digital Health" Teaching language German English Languages English is the main language of instruction in
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partner institutions and guests from other universities. Depending on your needs, you will be able to attend language courses and training in digital humanities methods. A tailored coaching programme will
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to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phma ). Applicants must have significant programming experience ideally in C, C++, R and/or Python. You must have good written and oral communication
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a very good to excellent command of English (written and oral). Additional language skills in a Scandinavian language are an advantage, but not a requirement. Applicants are required to possess robust