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behavioral datasets Proficiency in scientific programming (e.g. Python, MATLAB, or R) for data analysis and visualization A clear affinity for insect behavior, sensory ecology, or movement ecology; Fieldwork
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spectroscopy and signal-processing techniques. Ideally, you have experience with lasers and/or spectroscopy and programming (i.e. Matlab, LabView/Python). You are a highly motivated, enthusiastic, critical
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analysis (e.g., Matlab, Python, R) Speaks and writes English fluently (Dutch is a plus) Works well in a team but is also self-motivated and independent Communicates clearly and is open to feedback The start
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. Experience with these methods is a plus. Is skilled in programming and data analysis (e.g., Matlab, Python, R) Speaks and writes English fluently (Dutch is a plus) Works well in a team but is also self
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contribution to co-operation within the network. The tasks listed are not exhaustive and further activities and tasks may arise in the course of the doctoral thesis in order to achieve the research objectives
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for this position) Experience with programming languages (e.g., Python, MATLAB) and simulation software Excellent academic a dynamic, creative and pioneering professional attitude with a willingness to
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for this position) Experience with programming languages (e.g., Python, MATLAB) and simulation software Excellent academic a dynamic, creative and pioneering professional attitude with a willingness to
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of communication networks Antenna theory Programming Skills: MATLAB, C/C++ Language Skills: Excellent written and verbal communication skills in English are required. French, German or Luxembourgish is a plus. We
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languages for data analysis such as Python, C++ and Matlab. Knowledge with various microscopy instrumentation such as dual beam focused ion beam/scanning electron microscopy (FIB/SEM) Behavioural Competencies
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of simulations (phyton, Matlab, C) Proven theoretical education in technical and/or organic chemistry Proven theoretical education in combustion and thermal conversion You must have a professionally relevant