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engineering ability (e.g., OCaml, Rust, C/C++, Python, or other functional languages) Strong publication record (relative to your career stage) in internationally leading venues (e.g., POPL, PLDI, ICFP, OOPSLA
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., vLLM, SGLang, or similar inference engines) Strong computational and analytical skills, including solid software engineering ability across multiple languages (e.g., Python, C++, OCaml, functional
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experience with piezoelectric- or ferroelectric nitrides is an advantage Knowledge of PVD process development and pulsed sputtering is an advantage Proficiency in Python programming Interest in lab-automation
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postdoctoral position is available in the laboratory of Prof. Alex Persat (EPFL School of Life Sciences, https://www.p-lab.science/ ) to establish a new image-based drug screening platform targeting gram
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computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to the candidate’s career stage; The ability to work both independently and collaboratively in
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and rigorously evaluating new machine-learning methods. • Excellent Python programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research
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proficiency in one or more programming or scientific computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to the candidate’s career stage; The ability to work both
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related field; Strong publication record in relevant venues; Solid programming skills in Python and a modern deep-learning framework Excellent communication skills in spoken and written English; Self
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experimental control and scientific data analysis, preferably using Python, C/C++, MATLAB, LabVIEW or related tools The ability to guide junior researchers and coordinate work across a collaborative experimental
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-invasive targeted drug delivery to the brain. Our laboratory recently developed a novel focused ultrasound-mediated targeted drug delivery platform, published in Nature Communications (https://www.nature.com