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- Delft University of Technology (TU Delft); Published today
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Field
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include: Flexible working hours to maintain an optimal work-life balance; Sabbatical leave, study leave, and partially paid parental leave; A strong focus on vitality, with access to on-campus sports
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will provide fundamental insights that help optimize chemical recycling processes, bringing Europe one step closer to a truly circular plastics economy. This PhD project is part of a national research
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infections. As a post-doctoral researcher, you will work at the intersection of data science, epidemiology, and clinical research, developing innovative methods to optimize the use of rich real-world data. You
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that there are plenty of challenges ahead for you. You will work here Making the world digitally accessible to others means achieving optimal digitally sustainable information management. Our department
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examine hypotheses in a truly physiological context. In this project, you will contribute to both engineering and neurobiology. First, you will help build a light-sheet microscope optimized for voltage
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antibodies) from individual serum samples. You will further develop and optimize these methods, with as special aim to enrich for antigen-specific antibodies. A secondary key objective is to improve
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); Experience in mathematical modeling of cognition or behavior (e.g. optimality, drift-diffusion); Advanced computational and/or programming skills (Matlab, Python, C++, R, or other languages); A commitment to
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polar codes and LDPC codes. Several outbranching research directions are possible, such as: integration of new decoders with pre- and post-processing techniques for fuzzy sources, optimization of decoder
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(quantity is less important); Experience in mathematical modeling of cognition or behavior (e.g. optimality, drift-diffusion); Advanced computational and/or programming skills (Matlab, Python, C++, R
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learning, with a focus on novel optimization techniques and memory architectures. Advancing the reasoning capabilities of large language models (LLMs). Developing methods to improve the safety and robustness