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Field
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want to contribute to the next level of self-driving labs? Are you excited about the application of high-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our
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energy minimization. In this project, you will further explore and exploit the potential of ONNs performing sense and compute functions. Some of your responsibilities will include: Design and develop
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embedding graph-based problems, particularly those known to be challenging for classical computing architectures. Some of your responsibilities will include: Design and develop mixed-signal circuits
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involving integrated photonics and color center qubits. You will focus on device design and characterization, delving into the complex physics of color centers, and developing technology based on integrated
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pharmaceutical residues from entering wastewater, and designing sustainable interventions for high-emission clinical departments. Our goal: This PhD project has two main goals: (1) to develop knowledge
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prevalent group (mutations in STXBP1), and to design intervention strategies. Our research is developed within the framework of a European consortium, ESCO, where scientists, clinicians, patient families and
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vascularization of engineered tissues and organoids. You will work with human induced pluripotent stem cells, differentiate them towards organ-specific endothelial cells, and develop in vitro approaches and assays
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immune-metabolic profiles, prepare scientific (review) articles to be published in international journals, resulting in a dissertation. present key findings at scientific conferences and symposia
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of the PhD program is to prepare candidates for a career as independent scientist. Additional information Jan-Stephan Sanders (050) 361 3434 j.sanders@umcg.nl Stefan Berger s.p.berger@umcg.nl
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candidate, you will develop your own research project in consultation with the supervisory team. You will conduct independent and original academic research and report results via peer-reviewed publications