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environment. A good command of written and spoken English is essential. Why Join Us? This position offers a unique opportunity to work on an innovative and potentially disruptive energy technology addressing
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, network analysis, visualization, quality control, and statistical analysis. Perform and analyze electrical neuromodulation experiments, including open-loop and closed-loop stimulation paradigms, to test
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research MRI techniques and sequences to study patients with stroke and dementia, or at risk of these conditions, in large cohort studies as well as randomized controlled trials Perform other duties as
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At IET-1, we are studying the electrolysis of CO2 for the sustainable conversion of green energy into chemical energy carriers in order to defossilize the chemical industry. The process control and
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and how these interactions are regulated to control cellular function, with particular relevance to human disease, including amyotrophic lateral sclerosis (ALS). The lab is located at King’s College
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allosteric coupling, to exquisitely control signal routing. We integrate structural biology (NMR, X-ray, cryoEM) and biophysical techniques (FRET, ITC, BLI) with cellular readouts (TopFlash, BRET) and
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project aims to develop digital polymers capable of storing binary information at the molecular level. To achieve this, we will synthesize sequence-controlled polymers using a multi-step solid-phase
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Doctoral degree in statistics, biostatistics, computer science, psychiatry, psychology or a related discipline. They should be familiar with programming languages such as R or Python and have a good command
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. The fellow will participate in a prospective, randomized, adaptive trial investigating the efficacy of percutaneous electrical phrenic nerve stimulation and intermittent controlled mechanical ventilation in
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achievements, including publications in the renowned publishers/scientific journals, grants, awards, opinion of the candidate, issued by an independent researcher (max 20 points); soft skills – command