47 gis-python "NTNU Norwegian University of Science and Technology" PhD positions in Netherlands
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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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at the interface of responsible and explainable artificial intelligence, as well as human-AI interaction and -collaboration. - Very good programming skills, preferably in Python. - Very good statistics and machine
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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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representation and knowledge graphs; programming skills in Python and knowledge of relevant NLP libraries (e.g. spaCy, Hugging Face Transformers); good English communication skills and an interest 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
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Biology, Neuroscience/(neuro-)immunology, or related fields; preferably experience with big data and omics analyses and coding (e.g. python, R); affinity and experience with performing animal experiments
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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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(e.g. python, R); affinity and experience with performing animal experiments; experience with classical biological methods (e.g. dissections, immunohistochemistry, western blot, PCR, in vitro assays