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program during the postdoctoral training. We are looking for an enthusiastic scientist with a desire to work on a challenging and timely project using state of the art technology as part of a friendly and
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Doctoral Certificate Program in Agricultural Economics (www.agraroekonomik.de ) Institutional support to organisation and collection of relevant research data in Kyrgyzstan, Tajikistan and Uzbekistan
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should ideally be willing to work with rodent models including basic handling and surgical techniques. High proficiency in English is required. Excellent computational, experimental, or engineering skills
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Lei Yang and Prof. Johannes Kabisch (Norwegian University of Science
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the LandesTicket Hessen (Hesse StateTicket), in addition to opportunities to working mobile at times; Fit and healthy – free of charge preventive medical check-ups and a wide-ranging subsidised sports programme
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communication skills. Previous experience with advanced neuroimaging methods is highly desirable. Expertise in at least one of the main programming languages used in cognitive neuroscience (e.g., MATLAB, python
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degree in computational engineering, mechanical engineering, computer science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural
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the following topics: Quantum Software Engineering Program Analysis Testing The candidate should have critical thinking and team working skills Fluentwritten and verbal communication skills in English are
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the goal of obtaining a doctorate. It is based in the newly established Animal Neurophysiology group (Prof. Münch) at the Institute of Animal Physiology, at the Faculty of Biology and Chemistry. The salary
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of Biochemistry and Molecular Biology, which allows the candidate to tailor a flexible individualized course program Training in a wide range of scientific and transferable skills including research management