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with low-data, sparse, or noisy datasets, typical in early-stage drug discovery. Technical skills: Proficiency in Python (required). Practical experience with machine learning or deep learning workflows
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of the environments. A research-oriented attitude. Solid programming knowledge (Python, and preferably web development languages), and some experience with ABM or willing to learn ABM is a plus A good understanding of
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willingness to learn Dutch. We prefer that you are proficient in scientific computing (Python, Matlab, R, and UNIX), have strong data processing and collection, and are familiar with the basics of machine
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qualifications for the position. a detailed Curriculum Vitae, including: the starting and end dates of your BSc and MSc study a list of your publications a brief description of your MSc thesis project contact
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data analysis tools (e.g., python, R, SQL, Power BI or similar); You are an excellent team-player in an enthusiastic group of scientists and practitioners from different backgrounds; You are fluent in
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learning, deep learning, and/or computer vision; Experience in programming. Python is a must, lower-level GPU programming experience is a bonus; Strong grasp on the English language; Eager to collaborate and
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of statistics and basics of data analysis. Capacity to perform statistical programming, ideally with R or Python (alternatively with SPSS or Stata). Previous experience with designing questionnaires, choice
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data, including regression, classification, representation learning (e.g., spectra, micrographs, or time-series), and uncertainty-aware modelling for experiment planning. You are proficient in Python and
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such as Matlab or Python is important. This is what we offer you A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after
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spectroscopy (UV-Vis, IR, fluorescence). Prior experience with writing code in languages such as Matlab or Python is important. This is what we offer you A temporary contract for 38 hours per week for