Ihr Aufgabenbereich
- Diploma or Master’s degree in Physics or a related discipline
- A strong interest in quantum technology, demonstrated e.g., by a Master thesis in these topics, is desirable
- Excellent English language and communication skills
- Research experience with defects in crystals, such as nitrogen-vacancy centers in diamond
- Laboratory experience including optics, spectroscopy, data acquisition and evaluation
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Your Tasks
- Editorial support of publication projects of the research unit
- Supervised academic activities in the field of modern art history and in particular Austrian Baroque
- Entering and editing information in databases
- Annotations of image and text data
- Engaged participation in the activities of the institute and the research unit
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Ihr Aufgabenbereich
- Conduct original scientific research in the field of inverse problems applied for extremely large telescopes (theoretical analysis, development and implementation of algorithms, simulations and experimental tests) Be part of a doctoral training and work towards obtaining a PhD in technical sciences
- Collaborate with scientists and students working in other fields covered by the mathematical and astronomical research network
- Publish scientific findings in renowned international journals and at conferences
- Complete trainings or short-term research stays at international collaboration partners
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Your Tasks
- Develop and merge innovative approaches in spatial data encoding, continuous output representation, and multi-variable simulation with dynamic data integration (Retrieval Augmented Generation, RAG) to push the boundaries of spatial stochastic simulation research.
- Design, prototype, and test advanced transformer-based methods tailored to complex spatial and multi-variable data.
- Create robust training protocols to manage non-stationary data and develop strategies for continuous output (e.g., raw value predictions, Fourier decomposition).
- Implement tokenization and cross-attention techniques to efficiently handle multi-variable simulations.
- Collaborate with international partners and contribute to an environment that values scientific freedom, interdisciplinary work, and curiosity-driven exploration.
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Ihr Aufgabenbereich
- Doctorate related to the above requirements
- Strong background in optimization and partial differential equations
- Strong background in numerical mathematics and computing
- Machine learning skills are welcome
- English skills needed
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Ihr Aufgabenbereich
- Conduct own research based on data analysis and theoretical studies.
- Actively participate in the science task for the missions relevant to the IWF contributed instruments.
- Regular publications in peer-reviewed journals and presentations at international conferences.
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Ihr Aufgabenbereich
- strengthening of our analysis activities with the CMS experiment, in particular, taking a key role in the area of physics of the top quark and measurements with energy correlators
- data analysis, including the improvement of existing and the development of novel analysis strategies with novel machine-learning-based unfolding techniques and
- interpretation of results in the context of SM
- supervision of students
- contributions to maintenance and development of the reconstruction and the calibration of physics objects
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Ihr Aufgabenbereich
- strengthening of our analysis activities with the CMS experiment, in particular, taking a key role in the area of physics of the top quark
- data analysis, including the improvement of existing and the development of novel analysis strategies with novel machine-learning techniques and unbinned methodology
- interpretation of results in the context of SM effective field theory
- supervision of students
- contributions to maintenance and development of the reconstruction and the calibration of physics objects
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Your Tasks
- Preparation and submission of an independent project proposal in a highly competitive national or international funding program in the field of modern art history of the Habsburg Monarchy, preferably using digital or computational methods
- Independent research activities and publications
- Engaged participation in the activities of the institute and the research unit
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Your Tasks
- Develop Neural Network models to predict three dimensional complex molecular cluster structures and thermo-chemical properties.
- Support cloud formation modelling.
- Support scientific data interpretation (e.g., CHEOPS, JWST) and preparation for future missions.
- Publication and support in proposal writing activities, and collaborate with group members.
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Your Tasks
- Fluent language skills in English, Indonesian, Portuguese, Tetun Praça and Tetun Therik.
- Previous research experience in Timor-Leste, as well as in-depth knowledge of the history and politics of Timor-Leste.
- Familiarity with the anthropological literature on resource extraction, political ecology and feminist approaches to labour and dispossession.
- Ability to work independently, including conducting fieldwork, data analysis and writing, plus develop original lines of inquiry
- Willingness to conduct collaborative fieldwork and writing with the PI and the research team.
- Show awareness of ethical considerations in fieldwork on extractive industries.
- Understand issues related to personal and participant security during fieldwork.
- Be prepared to join an existing research project and actively contribute to its central aims and collaborative inquiries.
- A previous degree in Development Studies is desirable.
- Be prepared to reside in Austria for the duration of the position (excluding fieldwork) and actively participate in project events.
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Your Tasks
- Define the requirement specification and design as well as perform the implementation & testing of the firmware application developed by the research group.
- Support unit level testing (e.g., functional tests for DPUs) and contribute to the respective test reports.
- Support the development of R&D projects for the group.
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