17 experiment-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at SciLifeLab in Sweden
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are required: •MSc in analytical chemistry, or an equivalent degree with a strong focus on analytical chemistry. •Hands-on experience of LC-MS-based analytical work. •Practical experience of sample preparation
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Expertise of large scale data handling Experience
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experience in areas such as advanced image analysis, data structuring and data integration, and large language models (LLMs) with applications in biological and biomedical research. The successful candidate´s
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in advanced national postgraduate courses and training events. Qualification requirements The candidate should have a Ph.D. or similar working experience in Image analysis, Bioinformatics
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related field. Practical experience with liposome preparation and biophysical characterization in vitro, as well as with analysis of simulation trajectories of lipid bilayers. The candidate should
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, DNA–protein conjugation, cell culture, high-throughput sequencing and bioinformatics. During the doctoral education the student will design and run experiments, analyse and interpret data. We value
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pursuing experimental work. experience with fine mechanics will be meritorious After the qualification requirements, great emphasis will be placed on personal skills. Target degree: Doctoral degree
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, perform translational experiments, collect and clean data, perform analyses, interpret results, and present your findings in scientific publications and at national and international conferences. You are
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experience and track record in using open databases and bioinformatic tools and services. Strong programming skills for developing computational tools or data workflows (Python or similar), with good software