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                Employer- Leiden University
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                Field
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                , scanning system, and signal detection within a multi-beam framework. For this purpose, you will use commercial simulation software tools such as EOD and GPT, while also developing custom Python-based 
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                developing custom Python-based simulation scripts. TU Delft will support your research with access to the DelftBlue supercomputer for large-scale and intensive modelling. In the second phase, you will work 
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                Engineering with excellent grades. Knowledge of Digital/Mixed-Signal Integrated Circuit (IC) design and Computer Architecture. Solid skills in HDL (Verilog, VHDL) and scripting languages (Python, TCL 
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                English is not your mother tongue; Official, stamped MSc degree certificate; Good command of programming languages like Python will be considered as a plus; Experience with sorption behavior of surfactants 
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                programming (e.g. in Python), or the willingness to learn; the willingness to work collaboratively with other researchers; professional command of English and good presentation skills. This is what we offer you 
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                , or a related field Experience in working with patients with neurological disorders (preferred) Experience with data analysis using Python and/or Matlab (preferred) Experience with neuroimaging data 
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                Python will be considered as a plus; Experience with rheology will be considered as a plus; Experience with AFM (Atomic force microscopy) will be considered a plus. For this position your command 
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                of programming languages like Python will be considered as a plus; Experience with sorption behavior of surfactants/polymers will be considered a plus; Experience with anaerobic bioreactors will be considered a 
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                your mother tongue; Official, stamped MSc degree certificate; Good command of programming languages like Python will be considered as a plus; Experience with rheology will be considered as a plus 
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                , AI or a related field; Strong programming skills (e.g., Python, PyTorch); Familiarity with modern ML frameworks and experience with large-scale models; Interest in interdisciplinary research