191 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"PhD-Jobs" positions in Sweden
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consists in you independently developing in vivo reprogramming of tumor cells into cDC1-like cells using RNA vectors, with the ultimate goal to develop an off-the-shelf, safe, and scalable immunotherapy
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communicate on a daily basis with the Head of Unit and Lab Manager. You will also actively participate in technology development with regards to analytical methods and application of workflows to user projects
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with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the
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different nationalities, backgrounds and fields. As a PhD student working with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along
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information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study
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availability modulates appetite. Work responsibilities The candidate is expected to independently plan and execute experimental studies, including the generation of mutant and transgenic strains
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interfaces in detail. This is important for the future development of small‑molecule inhibitors, nanoparticles, and specific antibodies targeting these interfaces as treatments for infections. Within
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. The Perinatal laboratory is a research laboratory with extensive research activity of a high interna-tional level. The main languages are English and Swedish, the working environment is stimulating and developing
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of cell nuclei We are actively seeking a highly motivated PhD student with a passion for developing experimental methods to join our team. In this role, you will be involved in a groundbreaking project
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an investor. Specifically, we aim to develop new methods for regime models, including automatically distinguishing between relevant and irrelevant data, developing appropriate model evaluation criteria