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Meritorious is if you have: experience with the statistics program R experience with various immunological methods such as flow cytometry and proliferation previous experience of working in a research group
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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energy, energy storage, electronics, medicine, sustainable manufacturing, etc. The main focus for the advertised position is novel machine learning method development. However, you will be part of a larger
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characterization methods (potentially including electrochemistry, multiple microscopy modalities, quartz microbalance, impedance spectroscopy) as well as surface modification and characterization and protein
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public actors and if you have experience in collaborative research. Experience with mixed methods studies is also a plus. English in speech and writing at an academic level is a requirement and if you also
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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In this WASP financed project, the research will focus on the study of multiagent automatic control methods for closed loop (CL) control of dynamical systems that adhere to safety constraints while
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intended support design decisions related to manufacturing and process parameter selections; known to influence the material microstructure. Duties: The post doc will develop and apply computational methods
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contexts. You share knowledge and contribute to the professional development of the workgroup, collegial working methods, and social community. Being present and active is seen as a given for you to perform