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development for multi-omics data integration (genomics, transcriptomics, proteomics, metabolomics, lipidomics), statistical evaluation and visualization in the Lipidomics Informatics for Life Science network in
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visualization in the Lipidomics Informatics for Life Science network in the de.NBI / ELIXIR-DE network Participation in working groups of the HUPO-PSI MS standardization initiative, ELIXIR Metabolomics and
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ideas and working closely with partners from physics, computer science, and social psychology Collaboration in the planning, implementation, and evaluation of crowd experiments Publication of research
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experiments Exchange and close cooperation with partners from physics, computer science, and social psychology Publication of research results in international journals Presentations at international
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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sensing, geoscience, physics, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., Phyton, C/C++) Advanced knowledge of numerical
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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
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-3/EN/Home/home_node.html or contact us via the contact form. Your Profile: Master’s degree in geography, remote sensing, geoscience, physics, computational geoscience, or related natural sciences
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electrical engineering, computational engineering, or a related discipline A strong foundation in power system modelling and simulation Solid programming skills (Python, C++, or comparable languages) Interest
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of computer science, biology, physics, mathematics or a related field Programming skills in Python required (Numpy, Pandas, Scikit-learn, Pytorch) Hands-on experience in Deep Learning Demonstrated interest in working