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omics approaches or epigenetics, advanced coding skills in R or Python, and prior supervisory experience with students or research staff. For consideration, applicants need to submit a cover letter
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 10 days ago
programming, preferably Python and R, is required. Experience with mass spectrometry data, in particular metabolomics, and geometric machine learning is a plus. In addition to above-average interest in
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Infrastructure? No Offer Description This project is part of the European ERC Synergy project Karst https://erc-karst.eu/ , which aims to develop a predictive flow model for an entire karst network. We will
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single-cell genomics assays and analyze the results of these assays utilizing the R or Python coding languages. The ICRS B will also be responsible for training new staff and study personnel on an as
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. For information about the Institute for Simulation and Training and the Orlando area, see http://www.ist.ucf.edu . We are seeking an Assistant In Embedded Training Researcher/Software Engineer with expertise in
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. For information about the Institute for Simulation and Training and the Orlando area, see http://www.ist.ucf.edu . We are searching for an Assistant In Digital Asset Research and Production Engineer with expertise
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statement of research interests, and three letters of reference, should be submitted through the application portal located at: https://indiana.peopleadmin.com/postings/31658 Review of applications will begin
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. Good programming skills (Python and C/C++ preferred). Proficiency in English and excellent communication skills and teamwork. Work Plan: The selected candidate will join the Intelligent Systems Group and
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, or robot perception. Strong programming skills in Python and/or C++, with experience in robotic software frameworks (e.g., ROS/ROS2). Experience with machine learning or computer vision methods, preferably
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models of neuroinflammation); Excellent skills in cell culture and flow cytometry; The ability to analyze RNA-seq data (R/Python); Enthusiasm and passion for research; Doctoral degree obtained not earlier