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, operations research, physics, statistics, or another highly quantitative discipline * A strong foundation in probability, statistics, optimization, numerical methods, or quantitative modeling * Experience
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bulk polymer networks. Your work will be supported by an international interdisciplinary research team. Some of your specific tasks are in detail: Contribution to the optimization of material
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athlete performance optimization. Experience working with students with disordered eating behavior and RED -S. Anticipated Pay Range $59,400-$66,000 (11-month term) Other Information Special Conditions Non
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thermodynamics. Research will address property prediction and optimization as well as applications to chemical reactions, photochemistry, and materials design. The successful candidate will work in a
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and highly motivated to work in an experimental laboratory A background in quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and
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, experimenting and theoretical development, with the following research areas providing a template for relevant directions: Autonomous Underwater Robot Navigation in Aquatic Environments - Optimization-based path
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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
metallic and ceramic – as well as application aspects. PROJECT DESCRIPTION The PhD student will focus on the synthesis, optimization, and characterization of advanced sorbent materials for selective
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* A strong foundation in probability, statistics, optimization, numerical methods, or quantitative modeling * Experience developing research code in Python and working with large datasets; experience
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PhD Student (f/m/d) | Engineering Crystallization and Precipitation Processes for Biopharmaceuticals
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen-Anhalt | Germany | 8 days agoparticle size distribution will allow you to follow the process in real time and provide the data for process control and optimization. You will start with well-characterized model peptides and then move
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, aiming to identify efficiency-limiting recombination and defect-related effects. Preparation of electron-transparent TEM lamellae and specimens Operation and optimization of ultrafast laser systems