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Mathematics, Statistics, Physics, or other quantitative discipline Solid programming skills Fluency in both spoken and written English is mandatory Ideal Qualifications Experience with deep learning frameworks
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tools. Adept in software engineering with fluency in programming languages such as MATLAB, C++, C#, Java, Python (Napari, Stardist, Scikit-image), PHP, SQL, Tcl/Tk.). Knowledge of training and/or
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metals), robotic fabrication, circular engineering, experimental methods, and topology optimization; Fluent in English (oral and written); Experience with computer aided design (CAD, e.g., AutoCad, Rhino
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characterization in the context of mammalian cell line experiments Protein design and engineering Protein biochemistry and structural biology Cellular proteostasis Bioinformatics, statistics, and programming
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ecophysiology. You must have good statistical skills, experience with fieldwork, and programming experience (e.g., in R or Python). A good standard of written and spoken English as well as a driver’s license are
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analysis, and programming Excellent communication and collaboration skills, with fluency in English (spoken and written) Preferred Qualifications (Not Mandatory): Background in satellite gravimetry, with
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mathematics, computational sciences, or a related field. Additionally, you have prior programming experience and are fluent in English (oral and written). You show enthusiasm for conducting original research in
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environment. Project background We developed the Design++ postdoctoral fellowship program to provide an opportunity for talented researchers who are interested in bringing promising technologies and solutions
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science, and/or nanoscience. Prior experience with scanning probe microscopy, preferably with a focus on magnetic nanostructures or spin resonance studies, and programming in Python would be advantageous