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. Flexible study programs and academic career opportunities in a wide variety of disciplines encourage the 34,000 students and researchers alike to develop their own individual talents. As one of the best
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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Organisation Job description As a researcher, you will play a key role in developing and implementing the DNPP’s research programme. Your responsibilities will include conducting independent and
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will develop and carry out the project under the supervision of Dr. Senka Neuman Stanivukovic, Dr. Ksenia Robbe, and Dr. Florian Lippert. Together, they bring expertise in environmental humanities
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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in May, and an additional 8.3 % end of year bonus in December. - A temporary full-time appointment for a period of four years, under the condition of a positive assessment at the end of the first year
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appointment. An additional 8% holiday allowance each year in May, and an additional 8.3 % end of year bonus in December. A temporary full-time appointment for a period of four years, under the condition of a
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-time position (1.0 FTE). A holiday allowance of 8% gross annual income. An 8.3% end-of-the-year allowance. The successful candidate will first be offered a temporary position of one year with the option