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phenological data using camera and drone-based imagery. Use genetic analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical
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(AUH), where the newly developed therapeutic oligonucleotides will be tested in preclinical models. Applicants must hold a PhD in chemistry and have documented experience in organic synthesis and nucleic
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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highly motivated, determined, innovative, and collaborative postdoc to lead the research project outlined above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in e.g
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the applicant's interest, qualifications, and motivation for the position (max. 2 pages). Detailed Curriculum Vitae, including personal contact information. Master’s and PhD degree certificates or equivalent (copy
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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reached – namely when a certain level of non-economic losses and damages avoidance has been secured – a community may decide that funding is better spent on other issues. Both the type of information
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for the planning of the project as well as data acquisition, preparation and analysis, manuscript writing, and other activities for disseminating the results. In addition, the candidate will have to fulfill
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you will report research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in ecology, environmental science, remote sensing, data