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collaboration with industry partners and SMEs. You have a track record of scientific publications in relevant venues. You are proficient in Python and relevant machine learning frameworks such as PyTorch
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of the English language, demonstrated through published first author papers in respected and relevant conference proceedings or journals; Experience with programming in Python, or otherwise in R and/or C++; Able to work
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programming in Matlab and/or Python. You are hands-on in lab work and skilled in experimental design. You bring creativity, an assertive attitude, and perseverance. TU Delft Delft University of Technology is
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). Understanding of or interest in regulatory environments, sustainability, or policy modeling in supply chains. Solid programming or modeling skills in tools such as Python. Strong analytical, writing, and
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engineering or similar field Experience in microfluidics, specifically segmented slug flow Programming proficiency, preferred in python and LabView Interest in the field of metabolomics, programming, and NMR is
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communicate in academia. Excellent computational skills (e.g., R,Python or comparable). Fluency in written and spoken English (at least C1 level). The capacity to participate in an interdisciplinary
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are looking for a colleague who is comfortable with experimental work in a laboratory as well as programming in (preferably) Python or Matlab. Information and application Please submit your application before
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datasets and use statistical software such as Stata, R, or Python to produce robust results. Design appropriate causal strategies for evaluating policies or social programs. Translate theoretical and policy
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(for example instruments control) You have proven experience in Python development You have experience in software development and validation, especially complex simulation software Ideally, you have direct
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processing, and user-friendly GUI-based analyses for clinical and physiological research. You will combine Python-based software development, biomedical signal processing, and FAIR data design, and contribute