164 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Leibniz
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, SimBA) Experience in animal experimentation (FELASA or equivalent is a requirement) Expertise in molecular biological and advanced imaging (confocal and fluorescence) techniques and analysis programs
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tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
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Oceanography, Marine Geology and Marine Observations work interdisciplinary within a joint research program. The doctoral thesis will be based in the working groups Organic Trace Substances (Organic Trace
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, experience with Linux shell-based bioinformatics tools, and basic programming skills (e.g. Python) are essential. Experience with metabolome analyses and natural product biosyntheses will be a plus. The DSMZ
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, or multimodal architectures, Strong programming skills in Python, with experience in Machine Learning and Linear Algebra Libraries (preferably PyTorch, also JAX, TensorFlow). Experience in CUDA programming is
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Neurosciences, Life sciences or related fields Experience in behavioural and molecular techniques Programming experience (Matlab and/or Python) interest in interspecies / interdisciplinary studies Please send
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is seeking a PhD Candidate / Software Developer for Aerospace Knowledge Base (m/f/d
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Company pension plan (VBL) Company health promotion and the opportunity to participate in company fitness with EGYM Wellpass Submission of application: Please submit your complete application documents
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and pipelines, programming skills (e.g. Python, R) and experience in working with relational databases and SQL (e.g. PostgreSQL, MySQL) are advantageous. Experience in EU projects or in the project
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related fields Native speaker or excellent command of German and English Experience in programming (in R) or motivation to learn and perform bioinformatic analyses of bacterial DNA (16S rRNA and shotgun