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Field
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deployment; Knowledge of at least one programming language (such as C, Sage, Matlab, Python); If possible, some experience with cryptography - good knowledge of algebra (including field and ring theories, and
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an advantage. Knowledge on programming skills (Matlab, C) are considered an advantage. You are willing to learn MRI and X-ray CT imaging methods. Do you like to collaborate with industrial partners? Are you
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Matlab or Python. Experience with neuroscience techniques (e.g. EEG) is a plus. You possess proven problem-solving skills and an ability to take a strong, positive and proactive approach to work. You have
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Science, Physics, Applied Mathematics, Electrical Engineering, Data Science, or a related discipline. Demonstrated practical experience in scientific programming (e.g., Python, MATLAB, C++), algorithm development
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, Python, Julia, MATLAB). A research-oriented attitude. Ability to conduct high quality academic research, reflected in demonstratable outputs. Ability to be self-propelling and drive your own research
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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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creative – You bring substantial knowledge of statistical (e.g. Bayesian) methods, strong analytical skills, and creativity. Programming skills – You are proficient in Python and/or Matlab. Research
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. Proficiency with at least one programming language (e.g., C++, Python, Matlab, etc.). Good written and oral communication skills in English. The following aspects will help you stand out: Thriving in
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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