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data analysis (genomic and transcriptomic) (UNIX, LINUX, R, Python or similar). Experience with microscopy and/or histological techniques is an advantage. Excellent English skills (written and spoken
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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familiar with data analysis using programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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data analysis using software Experience in R and python is a plus but not mandatory Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English
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large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C, or similar) and script-based programming (R, Python
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information at: http://www.ifw-dresden.de The Institute of Solid State Research at the IFW Dresden offers a PhD Position (m/f/d) “Self-Assembled Rolled-Up Microcoils for Solid-State Nuclear Magnetic Resonance
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The Bernhard Nocht Institute for Tropical Medicine (http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language skills, ability
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the following: A background in experimental neuroscience, animal behavior, or cognitive psychology Experience with data analysis, programming (e.g., Python, MATLAB, R), and statistical methods