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Field
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the research teams and present your results at (inter)national scientific meetings; participate in the Faculty of Science PhD training programme; assist in teaching Bachelor and Master’s students; co-supervise
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record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of
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working with live animals. Excellent skills for data handling and statistical analysis. Strong written and oral communication skills in English. Ability to work both independently and as a part of a team
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Deadline 21 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 1114--1-13522
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Cracow University of Technology
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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of Groningen (RUG), Utrecht (UU), Nijmegen (RU), and Amsterdam (UvA) cooperate. In addition to these sociology departments, the Utrecht research program ERCOMER and the research institute Radboud Social Cultural
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-THEORETICALPARTICLEPHYSICS [#30493] Position Title: Position Type: Postdoctoral Position Location: Nijmegen, 6525 HP, Netherlands (Kingdom of the) [map ] Subject Area: Mathematics, Statistics, and Computer Science Appl
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-on experience in benthic ecology and statistical analysis are required. Additional experience in analysing biodiversity data, ship-based sampling, marine plankton (preferably meroplankton), handling and analysing
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 1–2 PhD students in