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programming languages for bioinformatics or statistical analyses. You need to: Have a strong scientific capacity and analytical skills. Have documented ability for independent, structured work. Show flexibility
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languages for bioinformatics or statistical analyses. You need to: Have a strong scientific capacity and analytical skills. Have documented ability for independent, structured work. Show flexibility with
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on characterizing forest structure and biodiversity via Unsplash Professional qualifications (required) Master’s degree in machine learning, computer science, or a forest-related field with a focus on remote sensing
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models and advanced statistical analyses to field data is necessary. You must have strong quantitative skills, or willingness to learn, including basic competence in the R programming environment. Your
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equivalent in Dentistry. Experience from relevant research projects will be considered an advantage. The successful candidate must be able to work independently and in a structured manner, and possess good
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), it is important that you are able to: Work both independently and in a team environment, Work in a structured way, set goals and make plans to achieve them, Show curiosity and a strong motivation for
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advantage. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work both independently and in a team environment, Work in a structured way, set goals and make
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independently and in a structured manner. Applicants must have good collaboration skills and the ability, willingness, and commitment to work in a multidisciplinary team. Admission to the PhD programme at
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analysis. Experience with bioinformatics or ML-assisted sequence analysis. Familiarity with metagenomic library construction or screening methods. Candidates with experience in microfluidics will be
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to develop new skills independently in a structured and goal-oriented manner, and have excellent communication skills. Required: Master of Science (MSc) degree or equivalent in biology (e.g. botany, marine