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Camerat 15th May 2026 Languages English English English Faculty of Biosciences and Aquaculture PhD: Development of automatic monitoring of dairy cow and calf behaviour Apply for this job See
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | about 3 hours ago
, to large-scale functional imaging of brain circuitry during behaviour, to the quantification of natural animal behaviours. The Research Group “Genetics of Behaviour” is researching the evolution
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circuitry during behaviour, to the quantification of natural animal behaviours. The Research Group “Genetics of Behaviour” is conducting research on the evolution of behavioural diversity and the genetic
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development, and outdoor learning is highly desirable. Familiarity with programming and data analysis tools is also preferable as the PhD will involve some advanced quantitative data analysis, although support
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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 11 May 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan
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development. Study the impact of both rare (NGS-data) and common variation (GWAS) on growth development and eating behaviour Participate in international collaborative work on early life genetics Identify
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other AI applications in clinical workflows. In this PhD position, you will contribute to the development of a practical integration approach that enables standardised data exchange and model deployment
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. Together, these mechanisms strongly influence the long-term behaviour and durability of these engineering plastics. This PhD project aims to investigate the mechanisms governing the long-term evolution
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is aimed at prospective PhD students who wish to conduct research on the fascinating topic of “dust in the Earth system” and who wish to combine model development with the investigation of the role
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of Measurement Science of the Slovak Academy of Sciences, is offering a PhD position in Applied Mathematics for the academic year 2026–2027. This PhD project is ideal for candidates interested in statistical