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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
institutions, giving the right to apply for a doctoral degree in the country of origin. More information about foreign diplomas is available at: https://nawa.gov.pl/en/recognition/recognition-for-academic
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for at least 6 months. During the contract – no other salary from NCN-funded projects and no other employment contract. Experience in data processing, designing or developing computational algorithms
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of Vienna). About the position: Lead the research group focusing on hybrid quantum algorithms, quantum neuromorphic computing, and quantum machine learning Build your own team (PhD students, postdocs) 4-year
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | 9 days ago
to the Doctoral School of ILT&SR PAS https://phd.intibs.pl/files/dokumenty_EN/25-04-29-Zasady_rekrutacji_SD_INTiBS_PAN_en.pdf Description of the research project and the PhD thesis The exceptional sensitivity
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algorithms will be used to assess how different neutrophil subpopulations directly and indirectly kill tumour cells, and how this behaviour is influenced by other cells in the tumor microenvironment. Analysing
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the development of unmanned aerial vehicles. Performing analyses following simulation-based testing of unmanned aerial vehicles. Developing research programmes, methods, algorithms, and methodologies for assessing
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breakable with advances in computer algorithms. Quantum technologies offer solutions to such problems, enabling processes that are impossible with standard methods. However, even though few examples
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knowledge of R and Python programming languages in the areas of algorithmic trading and modelling of market risk; Specific Requirements other significant achievements (e.g., awards, scholarships) and
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languages in the areas of algorithmic trading and modelling of market risk; experience in creating or co-creating and implementing national and international teaching projects; experience in organizing and
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optimization methods: exact methods (MIP/MILP using PuLP) and heuristics (e.g., genetic algorithms) * Solid understanding of statistics, probability theory, data exploration, dimensionality reduction, classical