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/SinglePageApplicationForm.aspx… Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Professional skills Experience in: Reinforcement Learning (RL), Model Predictive Control (MPC
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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the workgroup of Prof. Carmen Herrmann (University Hamburg), we will address two core topics of the Priority Programme 2491: (i) the impact of the interaction with the local environment on the molecular switches
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have at least 6 years of dedicated research experience performing tasks such as molecular cloning, molecular diagnostics, bioinformatics, and genome engineering in prokaryotes and eukaryotes, such as
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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for efficient imaging of biological objects at molecular resolution. Job description Femto-Cryo project is a Topconsortium voor Kennis and Innovatie (TKI) project in a public-private partnership (PPP) scheme in
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experience within the field of microchip based acoustofluidics documented experience of COMSOL-modelling within fluid mechanics, acoustofluidics and microfluidics documented experience of acoustofluidic based
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/PhD Degree Experience Background in cardiac biology, neurobiology, bioengineering, or related field Molecular biology Background in electrophysiology preferred but not required Skills Skills in mouse
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To unlock the potential of targeted femtoliter volume control for efficient imaging of biological objects at molecular resolution. Job description Femto-Cryo project is a Topconsortium voor Kennis
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expertise are welcome to apply. Requested qualifications for this position include: Basic bench research experience: Biochemistry, nucleic acid, proteomics (2-D and Mass spectrometry), molecular genetics