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Field
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tracking and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
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suppliers and select equipment in agreement with the project leader. Operate and monitor the system using a dedicated interface. Design, validate, and optimize protocols for encapsulating biomass in
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such as surgery, patient or staff scheduling using, e.g., multi-objective optimization or machine learning approaches and analyzing efficiency-fairness trade offs. The research will be conducted under
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SELECTION PROCEDURE FOR THE RECRUITMENT OF AN INITIAL-LEVEL DOCTORAL RESEARCHER ON A PRIVATE LAW EMPLOYMENT CONTRACT WITH INDEFINITE RESOLUTION CLAUSE AT THE FACULTY OF MEDICINE OF THE UNIVERSITY OF PORTO (Pr
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
and bioavailability of micronutrients, and strategies to produce and process plant-based foods with enhanced concentration of micronutrients as an integrative part of sustainable and healthy diets
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intelligence (e.g., reinforcement learning for scheduling, congestion control, link adaptation, and cross-layer optimization). The exact research direction will be refined based on the candidate’s background and
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, programming, and computer simulations. The focus of the project (funded by the Danish Council for Independent Research) is to explore the interaction between optimally controlled coherent (laser) light fields
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to investigate all aspects of biogenic dyes, from the identification of dye-producing bacteria and the characterization of their pigments, through the optimization of their production and application
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the inductive heating of heterogeneous catalysts as an integral advantage. Your focus will be on the investigation, development, and optimization of this new process in a continuously operated reaction
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project, we are looking for a talented PhD candidate that can establish novel processes for fabrication of 3D pyrolytic carbon nano- and microelectrodes and integrate them into sensor platforms