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Python, C++, Julia, Rust, or other major programming language. Below are seen as merits Advanced degree (PhD) in a relevant field Scientific expertise in designing and building research environments
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field Comfortable with hands-on lab work and basic instrumentation Experience (or strong interest) in programming microcontrollers / embedded systems (Arduino, Raspberry Pi, Python, C/C++) Interest in
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of machine learning such as robustness, fairness, and accessibility. You will design and run reproducible experiments, measure relevant resource metrics, implement prototypes in Python, and communicate results
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at https://nbis.se. Duties We are seeking a candidate who wants to help enable life science research in Sweden that goes beyond what is achievable by individual researchers, a single university, or a single
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fundamental questions about soil health in agricultural cropping systems and advance your research career in a leading international research environment. The position is part of the EU project MultiSoil (https
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
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strong skills in the use of the analysis tools BORIS, R, and Python. Experience with international, particularly French, collaborations is considered an asset. You are fluent in spoken and written French
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immune cells. Experience with evaluating phagocyte functions such as reactive oxygen species, degranulation, NETs, chemotaxis, and phagocytosis. Experience in coding in python or matlab. The following
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field. Documented experience in image reconstruction, inverse problems, signal processing, computational imaging, or cryo-EM data analysis is required. Strong programming skills (e.g., Python, C/C
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of