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: Qualified guidance and professional exchange with experienced scientific colleagues WORK-LIFE BALANCE: Optimal conditions for balancing work and private life, as well as a family-friendly company policy
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optimizing orbit configurations and potential constellation designs to maximize scientific return related to atmospheric variability. Particular emphasis will be placed on understanding variations in neutral
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
positions for Doctoral Candidates (DCs). We aim to create a network of early-stage researchers equipped with knowledge and skills - including entrepreneurship –to develop and support implementation strategies
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optimization. In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences
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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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plants with material co-production in energy system optimization models including, e.g., reservoir productivity predictions, novel surface processes for CRM extraction, CO₂ reinjection, and reconversion
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development of early warning systems, risk assessment of pathogens; optimization of the calculation of disease burdens, visualization of complex correlations, Big Data analyses, automated analysis of high
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Bachelor-/ Master Thesis: »Investigation of effects of surface metrology data on optical simulation«
-source tools. This data will serve as input for the simulation of optical properties (wavefront, MTF), using the simulation software Zemax OpticStudio. You will derive recommendations for optimal metrology
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/ ) addresses this gap by training a new generation of doctoral researchers who can integrate knowledge from climate science, data science, risk assessment, and the social sciences. Within this network, we invite
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-efficient processing capabilities. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a focus on applications