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in English in one PDF file. The file must include: Application (cover letter) Full CV Academic Diplomas (MSc & PhD – in English) List of publications incl. link to Google Scholar profile Link to Github
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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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months basis. In exceptional cases, shorter periods may be acceptable. Application process An application must contain the following documents in English: A complete curriculum vitae, including date
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supervised by Prof. Dr. Jun Pang. For further information or inquiries, please contact Prof. Dr. Jun Pang directly. Your profile PhD in Computer Science or a related discipline, coupled with outstanding
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, you must have a PhD in a relevant field. As a suitable candidate, you have expertise in deep convective cloud processes and experience with scientific data analysis. Prior experience in applying machine
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, Medical Laboratory Science, and Forensic Science, and Masters and PhDs in Biology, Biochemistry and Molecular Biology, and Environmental Science. We measure our success by the success of our students and
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on potential future persistence under climate change. Your findings will be readily transferred to the practitioners, as the Natural Resources Institute of Finland is a consortium member and the main tree
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Your Profile: Very good university degree (Master) in the fields of chemical engineering, process engineering, chemistry, material science or a comparable discipline with PhD Broad expertise and the
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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writing, scientific communication, and laboratory leadership. You will attend local and international scientific conferences. Your profile Applicants should hold a PhD in neurobiology or proteomics