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month in the first year to € 3539 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with
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collaboration with stakeholders; the qualifications to meet all the entry requirements of the WUR PhD programme. In our international working environment there is an increasing amount of communication in English
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implications, influencing policy decisions and healthcare practices. You will be working in an exciting, dynamic academic environment, under the guidance of leading experts in the field. Your work will involve
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the environment, including other species, in the analysis of evolutionary trajectories and apply this to antibiotic resistance evolution and microbial communities. To achieve this, the team combines evolutionary
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a prestigious ERC Starting Grant (VascularID ). The successful candidate will join a young and dynamic group in a prolific, creative and fun environment. The starting date for this position is August
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scientific concepts and thrive in an international and ambitious research environment Strong interest in translational neuroscience, and enthusiasm to bridge preclinical finding into clinical practice In
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committed colleagues and the excellent amenities in the historical city centre of Utrecht, where the faculty is located , contribute to an inspiring working environment. The department of Languages
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for personal initiative in a learning environment, and we provide excellent training opportunities. We are offering a unique position in an international environment with a pleasant and open working atmosphere
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plus; The ability to work independently, and thrive in a multi-disciplinary academic environment and communicate fluently in English, verbally and in writing. Conditions of employment A flying start to
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models of inflammation and MS to study microglial cell functioning in a white matter- and grey matter-like environment. With the use of various co-culture systems, sophisticated microscopy, RNA sequencing