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tremendousprogress in solving technology, we can now solve a wide variety of NP-hard (or worse) problems in practice. Moreover, these tools areincreasingly used in real-life applications, including high-value and
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context. You have knowledge of and preferably experience with technology that can be used in digital interventions. You have experience in establishing collaborations with other higher education
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interest in neurobiology and/or evolutionary biology, with a strong background in bioinformatics. PhD in Bioinformatics, Engineering, Computer Science, Physics, Bio-engineering, or Life Sciences
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, CS, Bio-engineering, or Bioinformatics. You have experience with applying AI technologies in (regulatory) genomics, as demonstrated by peer-reviewed publications in international journals. Having good
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the Controllosphere Theory of cognitive effort (see doi 10.1037/rev0000467). A Ph.D. and background in computational modeling, engineering or a related discipline is required; expertise with linear control theory and
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modeling, engineering or a related discipline is required; expertise with linear control theory and dynamical systems theory are preferred but not necessary. You hold a doctoral degree or a diploma or