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Nagoya Institute of Technology, Japan, is planned. We strive for an open and inclusive research environment. The salary is according to German standard (E13 TL-V, 100%). All positions are fully funded
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position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting as soon as possible. The position is initially
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identity. The position is available immediately on a part-time basis (67%). It is initiallly limited for 24 months, with the possibility to extend the initial contract and work towards a PhD for a total
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institutions in five European countries and will be supported by a network of industrial and academic partners. About the position The objective of this project is the development and application of soft sensors
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Experience with FACS, immune cell culture, molecular biology techniques and bioinformatics is advantageous Strong communication skills and fluency in English (spoken and written). Benefits: Fully funded PhD
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of the Leibniz Association. The following position is to be filled at the Institute at the earliest possible date, for a fixed term of three years, as part of the project ‘The role of glucosinolate
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Description At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13
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on the systematic investigation of mechanisms of mixture toxicity in the low-dose range. The position is allocated to the junior research group and supports research into regulatory concepts for the risk assessment
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to test complex mixtures and identify their risk drivers. The position is allocated to the junior research group and supports research on regulatory concepts for mixture risk assessment. As a long-term goal
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position is filled. Please submit your application including a cover letter (explaining background and motivation), a CV and transcripts (translated to English or German, if applicable) via e-mail and as a