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career position in compliance with § 99 (5) UG (tenure-track) in the field of Landscape Construction
eligible experience) at least: € 4,932.90 (14 × a year, in addition we also offer an attractive career development program and an extensive range of social benefits) Target group §99 (5) positions offer
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or computational). You should have the skills to manage your project at times and support colleagues within the lab. You will communicate clearly with the team.
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computational biology and immunology are also welcome. Our laboratory focus ranges from the study of basic biological processes to very translational bench-to-clinical research with implementation of laboratory
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Editor on our Discover journals to manage the launch and development of a portfolio of new journals in Computer Science focused on integrity of our publication process, speed of review, and excellent
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and overseeing Collections according to Collections programme Ensuring Production receives manuscripts in an appropriate and complete state Other tasks as required To be considered for the position, you
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. These are some of the benefits we are delighted to offer: Health plan benefits Employee Assistance Program Retirement Benefits Various Leave Programs Educational Assistance Disability, Life and Accidental Death
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barriers and promotes equitable access and advancement of the research program. Service Statement - In approximately 500 words, please discuss specific prior and proposed academic, professional and/or public
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initiative in solving complex problems and delivering clear, actionable solutions. Qualifications: Minimum Education and/or Training: Bachelor's degree in computer science, data science, information
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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within databases. Develop web services to query the database. Develop and implement computational and systems biology approaches for network and hidden driver analysis for genomic transcriptomics