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specifically you will be involved in assessing the dietary intake of iron and zinc in human volunteers eating either a habitual Danish diet or an optimized meat- or plant-based diet. Furthermore, you will be
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design of experiments PhD enrolment: Technische Universität Berlin DC13: Multi-Criteria Decision Making (MCDM) and Multi-Objective Optimization (MOO) to guide production of SCPs PhD enrolment: Tallinn
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. degree in computer science, mathematical engineering, mathematics, or similar; - Solid mathematical and analytical skills, including mathematical optimization and information theory; - Solid
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community.Further information about the platform is available here . Key Responsibilities Develop, optimize, and validate lipidomics and metabolomics workflows, including sample preparation, chromatographic
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at end-of-life. In this role, you will explore and optimize promising glass compositions suitable for use as power-electronics substrates, connecting composition and structure to relevant functional
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interfaces, and IoT front-ends; analog-digital co-design and system-level optimization in advanced CMOS technologies; circuit techniques for variability tolerance, calibration, and reliability. Evidence of
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in areas such as dose optimization, image quality improvement, and the advancement of imaging technologies. These focus areas are indicative rather than exhaustive. The role requires a focus on
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, synthetic biology, yeast genetics, or related fields. Strong knowledge of heterologous protein expression and optimization. Experience with high-throughput screening and genetic-engineering technology is
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serving (Ray/VLLM), quantization and sharding, prompt optimization, reinforcement learning, Transformers/Deep-SSMs/Test-Time Regression Extensive knowledge of agentic AI systems research, engineering and
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. Responsibilities and qualification Molecular thermodynamics plays a crucial role in the modelling, design, and optimization of various systems in product and process engineering. Despite significant progress made