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Field
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qualifications A masters degree in neuroscience, physics, evolution and ecology, or related quantitative fields. Prior experience with Python or Matlab, and a willingness to learn analysis tools. Excited about
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hands-on experience with data from animal communication can be acquired on the job but require willingness to learn. The ability to work in a diverse, multi-national team is required. In particular
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results in relevant journals or at international conferences Your Profile: Evident experience in chemistry, process engineering, chemical engineering, or a similar discipline Strong interest in pursuing
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circuits across aging. The candidate will gain valuable experience not only with various electrophysiological techniques, such as patch clamp recording and multielectrode arrays (MEA), but also with
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in pursuing research in electrochemistry Previous experience with fuel cells, electrolyzers or redox flow batteries is a plus High motivation for pursuing a PhD within 3 years Excellent organizational
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Signals in Cancer” (Head: Prof. Dr. med. Jürgen Ruland) is to (i) explore the molecular mechanisms and pathways that drive immune dysfunction and immunotherapy resistance, (ii) modulate cancer
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degree or equivalent in a relevant area Good experience in molecular biology Good communication skills and good team spirit Ability to solve problems independently Fluent in English (spoken and written) We
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qualifications and skills You hold a MSc in plant science, plant breeding, biology, or a related quantitative field with a focus on biology. You have hands-on experience in crop genomics and managing genotyping
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methods Knowledge of handling radioactive materials is considered an asset Experience in radiochemical methods is considered advantageous Highly qualified and highly motivated graduates and interested in
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, ideally in Python, with demonstrated experience in applying them in complex research or development projects Basic knowledge in Machine Learning, ideally supported by initial hands-on experience Experience