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consolidated data model and advanced analytics to facilitate strategic decisions with relevant stakeholders. The candidate will be involved in various (inter-)national initiatives and engaged with different
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ecological processes Demonstrated quantitative or qualitative analytical skills Capacity to work with complex data Research experience of Baltic Sea ecosystems Other qualifications that will be considered
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collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
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Chemistry, Physics, Materials Science, or a related discipline. The successful applicant will demonstrate strong interest and self-motivation in the subject and the ability to think analytically and
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contact Dr Renatas Kizys (R.Kizys@soton.ac.uk ). Decision Analytics and Risk: seeking outstanding students in our members' areas of expertise, including Business Analytics and Risk Analysis that provides
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with chemoreception and sensory biological techniques (SSR, GC-EAD, EAG). •Experience in analytical chemistry (GC-FID, GC-MS). •Experience in or willingness to learn statistical data analyses, data
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microscopy Experience in cell sorting via FACS and experimental lung research would be advantageous Extraordinary level of autonomy, initiative, analytical thinking and ability to work in a team Excellent
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businesses and their operations. There is therefore a growing need for rapid analytical methods for the determination of PFAS, not least because UK testing capacity is limited, slow and expensive. Fundamental
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for an individual with strong conceptual, analytical, teamwork, and problem-solving skills who has the ability to plan the work independently with minimal supervision and adhere to a time plan to meet the deadlines
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 23 days ago
Planck School of Photonics or the Göttingen Graduate Center for Neurosciences, Biophysics, and Molecular Biosciences (GGNB). The PhD student will work on novel AI-aided data analytics, especially