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researchers from different fields, including biologists, epidemiologists and clinicians Proficiency in statistical programming with R and/or Python Prior experience in Machine Learning or Computational Biology
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degree (Master or equivalent) in biology or related subjects (top 10%) Strong interest in fundamental plant ecology/physiology Proficiency in English Experience in scientific writing and presentations
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sciences, horticultural sciences, biology, environmental protection or related disciplines proven experience in the field of (organic) vegetable cultivation, e.g., in relation to climate adaptation
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in environmental/natural sciences, marine biology or related discipline. Very good English language skills and the ability to work in an international interdisciplinary team are essential. Willingness
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academic qualification as part of a doctorate is given. Your profile: An excellent MSc degree (or equivalent) in biochemistry, biology, or a related discipline A strong fascination for in vivo imaging
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or biology A strong interest in molecular mechanisms of plant abiotic stress tolerance Excellent English language skills (written and spoken) Highly motivated to work in a cooperative manner within the CRC Our
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academic qualification as part of a doctorate is given. Your profile: An excellent MSc degree (or equivalent) in biochemistry, biology, or a related discipline A strong fascination for in vivo imaging
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and productive team with many fascinating questions. Applicants should fulfill following criteria: PhD degree with a strong background in immunology, cell biology and signal transduction Being highly
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existing datasets and integrating diverse biological data types. This is an excellent opportunity for individuals passionate about both biology and technology to develop a resource that will be used by
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to work with other computational biologists and experimentalists at the lab and institute to support collaborative projects. Your profile: PhD in computational biology, bioinformatics, computer science