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to the various data sets of our research projects. Team Forgó currently consists of 2 postdocs, 4 praedocs, 3 student assistant / e-multiplicators, 21 project staff and 3 administrative colleagues. What sets us
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will provide guidance to less experienced members of the research group, including postdocs, research assistants, technicians, and PhD and project students. Key responsibilities: • Manage own
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opportunity to work on a cuttingedge clinically relevant platform learning from, and training, a highly dynamic and collaborative team of PhD students, Clinical Fellows, Postdocs, Scientific Officers and
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Engineer/Scientist Associate Experience in the use of data and analytics tooling within Microsoft Azure. Knowledge of machine learning algorithms and data science techniques. Why Arden: At Arden, you will
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leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis of normative frameworks and aggregation rules, and
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the Paradoxical Aspects of Measurement in Quantum Systems". This project leverages foundations to pave the way for the novel quantum protocols, algorithms, and technologies of the future. You will work closely with
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, 3 postdocs, 1 senior scientist, rotating visiting scientists, two study assistants and an organizational assistant. Good public transport connections: Your workplace is easily accessible by public
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, applying and validating your algorithms through laboratory experiments. A PhD in Chemistry, Biology, Computer Science, or related fields with a focus on protein engineering. Proficiency in Python programming
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, however minor modifications can be made in agreement with the Academic Programs Manager. This is a great opportunity for faculty, postdocs, and PhD students. The successful candidate will have a minimum of
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EDGE Create a library of promotional materials to distribute to potential licensees Contribute to, and lead, the dissemination of results from the project. Contribute to identifying business