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of plant invasiveness, mutualisms among invading organisms in forests, risks and benefits of non-native trees in forestry, social perceptions of non-native species in forests, economic optimization of forest
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modifications, including phosphorylations, hydroxylations, and glycosylations. We apply and develop ultra-high throughput screening technologies to facilitate efficient optimization of the enzymes and products
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bottlenecks and optimization strategies. The digital twin will serve as a testbed for evaluating engineering trade-offs and guiding future hardware development. The appointed researcher will collaborate with
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experience and ambitions Required Qualifications PhD in Electrical Engineering, Physics, Photonics, Materials Science, or related field Strong theoretical and practical background in semiconductor device
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. This is a unique opportunity to work at the forefront of hydrogen technologies and their integration to the energy systems. The successful candidate will hold a PhD degree (or close to completion) in