36 parallel-computing-numerical-methods-"Prof" positions at Erasmus University Rotterdam
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for your job with EUR? Then you may be eligible for the 30%-ruling if you meet the requirements of the Belastingdienst (Dutch tax agency), and with our Dual Career Programme we will also help your partner
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consortium funded through the European Union’s Horizon program. Employment conditions and benefits We offer you an internationally oriented and varied job in an enthusiastic team, with excellent working
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& Technology, Data Law & Governance, LGBTQ+ Rights, Anti-Discrimination Law, EU Internal Market Law, Digitalisation. Co-supervisor: Dr. Masuma Shahid, supervisor: Prof. René Repasi Job requirements We
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prior research experience in sociology - including a robust command of social science methods (e.g. ethnography, interviewing, policy/discourse analysis) and thorough theoretical expertise in cultural
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concentration in specialized clinics with access innovative treatments and technologies, such as (hybrid) surgical equipment, cell therapies, AI-driven methods, and advanced genomics. The project will focus
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specialising in a specific subfield of the Public Administration and/or Sociology program; You enjoy teaching the Bachelor courses and tutorials and would like to additionally participate in extra tasks
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Introduction Description of the research program Transplantation is the preferred treatment for patients with end-stage kidney disease. However, many transplanted kidney transplants fail prematurely. This leads
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to the project. Job requirements A Master’s degree (or equivalent experience) in computational social sciences. Strong background in computational social sciences methods, particularly agent-based modeling (ABM
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, biostatistics, or similar, preferably with experience in cost-effectiveness research and health-economic modelling. The candidate should have demonstrable skills in qualitative research methods, economic
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this with demonstrable knowledge on this topic (e.g., study assignments, MA thesis); Firm basis in and ideally experience with qualitative research methods and data analysis, in particular: shadowing