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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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data (e.g., Instagram and TikTok activity) from youth, to be able to gain unique insight into what they post and consume online. This proposed PhD project will form an integral part of a larger
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nanostructures using biophysical and biochemical techniques, as well as electron and fluorescence microscopy. Moreover, you will incorporate chemical components, peptides, PNAs, etc., into these nanostructures
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framework to bridge this gap and enable organizations to confidently deploy secure GenAI solutions by evaluating the machine-learning models intrinsically, identifying components of an AI pipeline and their
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whom you actively drive forward sustainable solutions. New Work, diversity and inclusion as well as cooperative teamwork are central components of our culture. Creative freedom & variety: A varied
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will be allocated for your education and professional development, such as attending courses designed for PhD candidates. Furthermore, you will gain experience in teaching, dedicating a small portion of
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poorly understood and warrant further scientific investigation. As an important part of this research initiative, the student will support our detailed morphological analyses of oak root systems. This will
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The ERC Synergy project ALCEMIST (lcsoftmatter.com/alcemist ) challenges the conventional engineering mindset of using motors to drive passive structural components by developing innovative
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Work group: Gerics - Climate Service Center Area of research: Other Part-Time Suitability: The position is suitable for part-time employment. Starting date: 08.05.2025 Job description: PhD Position
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, we will make full use of X‐ray Absorption Spectroscopy (XAS), including X‐ray Magnetic Circular Dichroism (XMCD) - an inherently element- and orbital-selective technique - alongside X‐ray diffraction