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with academic and industrial partners A comprehensive mentoring program, including training in soft skills, offered by the Jena Graduate Academy and the Jena School of Microbial Communication University
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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biology, computational biology, in vivo models of disease, and pre-clinical study development. You will have the opportunity to develop and lead projects using several cutting-edge model systems including
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possibilities for career development and networking A broad range of gender equality measures An educational programme The opportunity to apply for pilot project funding For inquiries, please contact: Dr. Nina
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mathematical models and refine parameters for single-cell, genomics, and metabolomics data analyses. While primarily focused on computational work, they may elect to acquire hands-on experience with
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computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging
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: Cover Letter (written in English) including the date of application, name, e-mail address, phone number at which the applicant can be contacted, and a brief description of motivation/reason for applying
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· Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50 nationalities represented in our workforce
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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an attractive and inspiring working environment with dedicated and highly skilled people. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological research. As a