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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 | 4 days agodistribution 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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integrated circuits (EICs), and advanced packaging technologies. The co-design and optimization of these building blocks are essential for achieving breakthroughs in data rate, power efficiency, scalability
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active molecule in Fabry disease and in the production of the glycosphingolipid Gb3. The project will focus on optimizing the molecular structures in order to improve their pharmacological properties and
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optimization problems, problems which are infeasible to solve using classical computers. Both analogue and digital quantum hardware still resides within what is called noisy intermediate-scale quantum (NISQ
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fundamentally different from a conceptual point of view. In this project we aim to devise and test novel approaches to solving hard optimization problems, problems which are infeasible to solve using classical
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. Caregivers continuously adapt their speech, gaze, gestures and pacing in response to children's attention and behaviour. These moment-to-moment adjustments may create optimal opportunities for learning by
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strategies against pathogenic bacteria and biofilms Characterization and optimization of hydrogel properties and biological functionality Evaluation of tissue regeneration and the therapeutic potential
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forward to receiving your application! Your work assignments The project focuses on the development and optimization of electrocatalysts and electrolyzer systems for sustainable energy conversion
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, particularly in areas such as machine learning theory, probability theory, optimization, and linear algebra. Experience with random matrix theory is a plus. Programming experience in Python. Familiarity with
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focuses on a modular sensing system combining ultraviolet (UV), visible (VIS), and near-infrared (NIR) reflection spectroscopy, fluorescence spectroscopy, and Raman spectroscopy, supported by a co-optimized