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-analytical errors and build mathematical models to describe these changes. This work can have real clinical impact, potentially resulting in digital software solutions for identifying, and compensating
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-analytical errors and build mathematical models to describe these changes. This work can have real clinical impact, potentially resulting in digital software solutions for identifying, and compensating
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up analytics including HPLC, LC-MS and GC-MS Protein expression, purification and characterization using biochemical and biophysical assays Variant identification using next generation sequencing
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. Responsibilities and qualifications Your overall focus and responsibility will be to develop advanced analytical tools for quantitatively studying catalytic transformations of carbohydrates through several
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Analytics. The core focus of the PhD project will be to develop and test planning and optimization models to analyze new and innovative Hospital-at-Home systems to improve access to healthcare for elderly and
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validate hypotheses concerning non-linear wave–plasma interactions using the PACE device. The research will involve carefully planned experimental campaigns on PACE, followed by detailed analytical work
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of enzyme libraries Setting up analytics including HPLC, LC-MS and GC-MS Protein expression, purification and characterization using biochemical and biophysical assays Variant identification using next
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, electrical engineering, communications engineering or similar - Solid computer science and analytical skills, including modelling and verification, programming language theory or quantitative model checking
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. Experience with modelling and simulation tools such as MATLAB/Simulink, Python, or similar is essential, along with good programming skills and the ability to work with complex systems. Strong analytical
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and computational chemistry/molecular physics Excellent analytic, mathematical, and programming skills Experience with electronic structure calculations incl. excited electronic states Experience with