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, collaborating with biologists at Utrecht Science Park and beyond? Join us as Lecturer Bioinformatics! Your job Life is the most complex system known to humankind. Bioinformatics driven data analyses are a unique
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to what extent data poisoning attacks can influence the output of LLM models in security and safety critical infrastructure. 3. Perform the attack under different scenarios and model the impact. 4. Evaluate
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employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working
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. Additional information The lecturer appointment of 0.4 – 1.0 FTE, is initially for two years and can be extended. We offer excellent training and career development opportunities. You will collaborate closely
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Investigator (PI), Dr Marzi. Together, you will further develop and refine the PhD case studies, the research approach and the various work packages, as well as analyse data, participate in conferences and
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to process your personal data (e.g. IP address) for personalised content, ads and third-party media integrations. Functional and strictly analytical cookies are always set. Non-essential and non-analytical
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period. Handle confidential information with care and professionalism. Preferablt you also have: Experience in an international or academic environment. Experience working with HR systems (such as NMBRS
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approach that combines semantic material data, design-for-circularity, and hub logistics to scale high-quality reuse in regional infrastructure ecosystems (primary focus: Twente; validation: Brabant). Reuse
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, exposing the limitations of current detection timelines. This reactive posture is worsened by a visibility gap in the DNS ecosystem. A lack of transparency in registration data, coupled with the short-lived
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of the Department’s workforce. You will encourage the flow of information, proactively coordinate with the Directorate’s other departments, and foster a culture of excellence, accountability and continuous improvement