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04.05.2025, Wissenschaftliches Personal We look for a motivated bioinformatician/computational scientist or postdoctoral candidate from the life sciences with experience in single-cell analyses who
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The Leibniz Institute for Agricultural Engineering and Bioeconomy is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food, industrial
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involved in post-harvest processing work. You fit to us: if you are a quick learner and grasp work flows easily. if you are a reliable person who is punctual and can work diligently. if you are independent
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Associate Professor of Experimental Physics Focusing on AI-Based Research of Biomolecular Structures
The Faculty of Sciences at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and the Helmholtz Center Berlin for Materials and Energy (HZB) invite applications in a joint application procedure
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, you will be supported by your colleagues in the team. What you bring to the table What is your background? You are studying Naval Architecture, Maritime Engineering or a related field for your Master
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
Scientific university degree in neuroscience, psychology, biomedicine, computer science or a related field Experience with imaging procedures (e.g. MRI, fMRI pre-processing) Thorough knowledge of data
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programme You enjoy working independently and on your own responsibility Initial knowledge of materials science and design theory is an advantage for you Good German and English skills are essential
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attendance of 1-2 times per week required to work in the institute’s lab. What you bring to the table You study computer science, electrical engineering or a similar subject. Good programming skills in Python
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prior to interim evaluation, and six hours thereafter. Required qualifications include an outstanding doctorate in a pertinent field (psychology, computer science, data science, education sciences
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master`s degree in social sciences, economics, political science, or a comparable field of study • Knowledge of quantitative data analysis (ideally with Stata) • Ideally, knowledge of designing