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Field
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skills (e.g., Python or other languages) and the ability to handle large datasets are an advantage. Applicants without these skills should have the motivation to develop them early on in the PhD. You have
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)chemical analytical techqniues (e.g., HPLC, GC, ELISA, flow cytometry) Analyzing complex and/or multidimensional datasets Programming for data analytics (e.g., Python, R) If you do not recognize yourself in
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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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(NLP) or data sources; strong programming skills (e.g., Python, RDF) and some skills in web-based data retrieval; good English communication skills and an interest in interdisciplinary collaboration. Our
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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