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difference in a collaborative and multidisciplinary environment will be preferred. Applicants should have experience of programming in Matlab and/or Python. Experience with grant writing and fellowship
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, computational biology, data science, computer science, electronics, biostatistics, applied mathematics, physics, biomedical engineering, or related fields). Basic programming skills, including MATLAB and Python
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, computer science and earth science/engineering, or a related field Proficiency in at least one programming language (Python, Matlab, R, C++, Julia, …) Good analytical skills with a sound understanding of data
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circumstances the doctoral degree can have been completed earlier. Other requirements: very good knowledge of English, in speech and writing; knowledge and experience in programming (Python, Matlab or similar
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data analysis. Record of scholarly publications and scientific communication skills Proficiency in statistical and data analysis tools (e.g., MATLAB, Python, R). Preferred Qualifications: Experience with
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is required. If necessary, the applicant selected for the position will be trained in indoor localization. ? Proficiency in programming languages such as C/C++, Python, and MATLAB is required, along
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skills: e.g. MS Office, JASP, R, Python, MATLAB,... You should be a team player with high social skills Additional Information Benefits What we offer: Inspiring working atmosphere: You are a part of an
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: Experience in deep learning, machine learning and medical imaging processing Programming experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent verbal and written
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., Fura-2, GCaMP). Strong understanding of ion channel function and neuronal signaling pathways, especially in nociceptors. Data Analysis: Familiarity with tools such as MATLAB, Python, Clampfit, and ImageJ
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equivalent. Specific knowledge of hydrology, urban water engineering, basic computer programming (e.g. Matlab or Python) and experience carrying out measurements of stream flow (or similar) are meritorious