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to fill the position of a Researcher (m/f/d) – Text Mining for Biodiversity Knowledge (Entomology and Legacy Texts) full-time / part time Location: Müncheberg (Brandenburg) Employment scope: full-time
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, biosciences or a related subject area sound knowledge in the fields of plant stress signaling experience in cloning and plant biology knowledge in the role of temperature signaling in biology experience in
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diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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communication and writing skills, thorough command of the English language. German language knowledge is very beneficial. We offer excellent conditions for you to complete your doctoral degree: An exciting
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knowledge developed in ISOLUME will be used to develop a roadmap for implementing changing marine lightscapes as an indicator in management policies, monitoring programmes and essential ocean (biodiversity
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Experience in planning of epidemiological studies and/or the analysis of data from statutory health insurances would be desirable Programming skills in SAS and R Good knowledge of spoken and written English
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diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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scientific knowledge. Its nationally accredited Research Data Centre (RDC) supports this mission by providing secure access to complex, sensitive microdata and by developing infrastructure that enables high
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, nanotechnology, or a related field. Knowledge in the fields of colloidal synthesis and surface modification, colloidal self-assembly and photophysics/optoelectronics is an advantage. Furthermore, hands
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other relevant fields. You have programming experience in Python and/or R (e.g. scikit-learn, PyTorch, TensorFlow). You have knowledge of omics technologies, ideally mass spectrometry and chemometrics