75 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions in Netherlands
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Are you excited about applying AI to solve real clinical challenges? As a postdoctoral researcher in the Mathematics of Imaging & AI (MIA) chair, you will join the ZonMW-funded AI for EVAR project
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/postdoctoral-researcher-in-oper… Requirements Specific Requirements Motivated researcher with a PhD degree in Operations Research, (Applied) Mathematics, Industrial Engineering, or related field. A strong
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Mathematics of Imaging & AI (MIA) chair, you will join the ZonMW-funded AI for EVAR project, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate
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and data acquisition. Collaborate with EXIT071 to advance dzITP technology for diagnostic and drug discovery applications. Optionally mentor or collaborate with MSc and PhD students involved in
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Applications are invited for a 2-years position as postdoctoral researcher within the research project “Graphs and Ontologies for Literary Evolution Models” (GOLEM), financed by an ERC Starting
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. The W-BioCat project targets an important enzyme class of tungsten-containing enzymes (W-enzymes), which catalyse amazing chemical reactions involving challenging low redox potential reduction reactions
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are looking for candidates with: A PhD in Operations Research, Applied Mathematics, Mathematics, Engineering, or a related field. A background in logistics (preferred). Strong writing and presentation skills in
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secure food system. You also possess: a PhD in Biology, Biotechnology, Bioengineering, Biochemical Engineering, or related fields, with demonstrated experience in animal cell culture; minimum of 2 years
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research engineer with a passion for innovation and strong inter-disciplinary skills; PhD degree in Instrument or Analytical Engineering, Mechanical Engineering, Biomedical Engineering, Systems Engineering
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the autonomous event reaction management part of the fault detection, isolation and recovery (FDIR) software. (a)Assessing the performance and fault tolerance of neuromorphic hardware The main objective