90 web-programmer "https:" "https:" "https:" "Newcastle University" PhD positions at Nature Careers
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· An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international
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positions in Finance. The program follows the standard international format with rigorous coursework in the first year and for the remaining, up to five years, work on research projects that will make up
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine
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holidays between Christmas and New Year's Day very good compatibility private and professional life; offers of mobile and flexible work PhD Buddy Program family-friendly company policy with childcare
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complex microphysiological system that allows for the simultaneous control of oxygen saturation, mechanical loading and perfusion Plan and document experimental work Write scientific publications in
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according to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve A wide range of training and
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collaboration Structured PhD-training programme with a wide range of professional development opportunities Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) A respectful
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payment, and company pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve Competitive, interdisciplinary, and international research environment
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field of marine and climate research, a forward-looking area with social significance 30 vacation days + additional time off at Christmas Eve and New Year's Eve Company pension plan and capital-forming
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and