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Applications should be sent to the Director of the GWZO (Prof. Dr Maren Röger, Reichsstr. 4-6, 04109 Leipzig) by 30 September 2024 with the usual documents (CV, certificates, letter of motivation), quoting
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transport and neurodegenerative diseases, e.g. amyotrophic lateral sclerosis (ALS) or frontotemporal dementia (FTD). In this collaborative project conducted jointly with the laboratory of Prof. Sunghoe Chang
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Physical Oceanography and Instrumentation, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations works interdisciplinary within a joint research program. What will be your
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ecosystem models. Experience using high-performance computing systems. Proficiency in running numerical ocean models. Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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reference number 25_01_A4 or 25_02_A4by 9 May 2025 to the director of the GWZO (Prof. Dr. Maren Röger, Reichsstr. 4-6, 04109 Leipzig) or by email to: bewerbung(at)leibniz-gwzo.de . For the postdoc positions
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and apply cutting-edge methods in artificial intelligence (AI) to address urgent societal and environmental challenges such as improving food security, promoting animal welfare, protecting biodiversity
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Prof. Dr. Markus Feuerer (markus.feuerer(at)ukr.de ). We are looking forward to receiving your detailed application. Please apply via our Online - Application Portal the reference MF-2025-02
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team and lead the development and application of machine learning methods to large-scale genomic data generated at IPK-Gatersleben, with a focus on the impact of genetic variation on gene regulation
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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will