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advertisement Job description A three-year PhD fellowship in Neuroscience is available in the group of Dr. Matthijs Dorst (https://dorst-lab.org/ ), with co-supervision by Associate Professor Koen Vervaeke (https
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-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. In the assessment
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-written LabVIEW and MATLAB scripts for data acquisition and analysis. General molecular biology and recombinant protein preparation. Maintain clear and comprehensive laboratory records. Perform statistical
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
experience testing for trace-amounts of contamination/impurities on MEMS structures to iron out false-positives in catalytic experiments. Experience in Python and LabView programming for developing new codes
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Python and LabView programming for developing new codes for data analysis is also needed. Finally, you must be able to communicate clearly, be out-reaching and service-minded as well as be creative
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LabVIEW scripts and APIs for target-specific applications, working with data acquisition (DAQ) systems, and proficiency in MATLAB, Python, and LabVIEW. Capable of working independently and as part of a
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LabVIEW scripts and APIs for target-specific applications, working with data acquisition (DAQ) systems, and proficiency in MATLAB, Python, and LabVIEW. Capable of working independently and as part of a
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of Prof. Tomasz Smoleński at the Department of Physics, University of Basel, Switzerland (https://smolenski-lab.com ), is looking for a highly-motivated and self-driven PhD candidate. The group utilizes
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. Knowledge of LabView for developing programmes for data acquisition, data analysis, and flow control. Proficiency in CAD software. Programming skills in Python and knowledge of MATLAB, Tecplot, or similar
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career at our national laboratory. The apprentice will receive pay and benefits, as well as all the RTI is fully paid for by PPPL. PPPL apprenticeship website: https://www.pppl.gov/work-with-us