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advantage. Experience with programming languages (e.g. python, C++) is considered a plus. A strong team player, with well-developed communication and collaboration skills. Excellent command of written and
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, Computer Science, Mathematics, Physics, or related field; Strong interest in cardiovascular physiology and computational modeling; Programming experience (preferably MATLAB, Python, or similar); Enthusiasm
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. Python, PyTorch, TensorFlow). Enthusiasm for hands-on experimental work (e.g., mechatronics). Familiarity with polymers or other soft materials. Drive to tackle interdisciplinary challenges and communicate
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, materials science, physics or a related field. Experience in synthetic organic/materials chemistry. Experience with optics and imaging is highly appreciated. Basic programming skills (e.g. Python, PyTorch
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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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interest in neuro-behavioral sciences and a passion for behavioral signals. Demonstrable experience in advanced data analysis and data collection. Familiarity with machine learning and proficiency in Python
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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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Biomedical Sciences, Microbiology, or related fields; experience with anaerobic bacterial culturing, mass spectrometry data analysis; experience with omics analyses and coding (e.g. python, R); experience with
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spectrometry data analysis; experience with omics analyses and coding (e.g. python, R); experience with bacterial genetic engineering or mammalian cell culture is a plus; good project and time management skills
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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