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, while supporting the development of pathways and theories of change; develop reproducible analytical tools, workflows and monitoring and evaluation frameworks for repeated assessment across cases; Monitor
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complementary systems-change-oriented methods to national-scale case studies, while supporting the development of pathways and theories of change; develop reproducible analytical tools, workflows and monitoring
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. In this way, we encourage you to grow in what you do, both in your work and in your development. Read more about our terms of employment . About us A better future for everyone. This ambition motivates
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work and in your development. Read more about our terms of employment . About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring
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your development. Read more about our terms of employment . About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At
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scientists. You meet the following criteria: • a PhD, or a PhD close to completion, in machine learning, artificial intelligence, computational biology, bioinformatics, computer science or a closely related
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researcher who enjoys developing methods for complex biological data and working closely with experimental scientists. You meet the following criteria: a PhD, or a PhD close to completion, in machine learning
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write research papers and a policy brief. In addition, you will help with organising and running a scenario-analysis for possible futures about organisational family friendly policies with relevant
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strategy. Your qualities We seek candidates who are motivated about eMRV research, can lead field campaigns, and are self-driven and can work independently and with a team. Applicants should hold a PhD
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about developing cutting-edge AI techniques to enhance interaction