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application to individually optimized immunotherapy for cancer. The grant covers two postdocs and several PhD students with complementing competences. In this call, we are looking for one PhD student who is
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will contribute to the development of more sustainable land management strategies that enhance soil carbon storage, optimize nutrient availability, and mitigate negative environmental impacts. Work
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contribute to the continuous development of the beamline and help users to optimally use the possibilities offered. You will be part of the team developing and operating MicroMAX and work in a group of
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macromolecular modeling: Investigate electronic, optical, molecular, and transport properties of soft materials, including conductive and semiconductive polymers, biopolymers, and macromolecules, to optimize
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computational methods for design, dimensioning, sensitivity, robustness, optimization, automation, feedback control, etc. Development of process engineering applications that demonstrate model-based methods but
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central role in streamlining and standardizing the design flow for quantum device fabrication. This includes implementing and improving design rule checks (DRC), optimizing and debugging code, and
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genetic data (e.g. from genotyping). You will implement and evaluate selection methods: Test and optimize new methods for precision breeding in practical or simulated improvement programs. You will work
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Subject description Mathematics in a broad sense, which also includes mathematical statistics, numerical analysis and optimization theory. Duties As an associate professor within the framework
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identify the optimal neurons for therapeutical stimulation leading to alleviation of non-motor symptoms, such as depression. Tasks and responsibilities As a Postdoctoral Fellow in the field of molecular
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KAU whose mission is to optimize the circularity of bioeconomy); contribute to teaching and education in degree programs and to develop your own pedagogical competence; contribute to the ongoing