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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 11 days ago
, including ability to script in R and/or Python A high level of curiosity, self-motivation, enthusiasm and attention to detail A cooperative personality actively seeking to contribute to our interdisciplinary
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
and fUSI studies, including data analysis (e.g., Afni, Matlab, Python), MRI physics & sequence development, rodent handling, behavioral experiments and surgery. Our mission is to build a supportive and
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, including quantitative, qualitative, and experimental approaches. Ideally, experience with Python, Stata, or R. • demonstrates proficiency in data collection, processing, and analysis, preferably using
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learning approaches for high-dimensional data, and programming skills in R or Python. Profile Track 2 – Experimental Immunology / Bone Marrow Biology / Trained Immunity Candidates with an experimental
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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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independent and creative research; Solid programming experience in C++ and/or Python, and familiarity with modern robot learning frameworks; Proven expertise in one or more of the following areas: robot
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biology approaches and early-adoption of cutting-edge technologies Operating with Linux and high-performance clusters (HPC) R/Python and Snakemake or Nextflow (or comparable platforms) OUR REFERENCES
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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
to work in a collaborative multidisciplinary environment # Excellent programming skills in languages such as Python, C/C++ and CUDA # Familiarity with modern deep learning frameworks like Tensorflow 2.x.x
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sounding systems Basic knowledge on middle atmosphere dynamics and spectroscopic methods Fundamental programming skills in, e.g., Python, Julia, C/C++. Expertise in automatic data processing and handling
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or machine learning, proficiency in deep learning techniques (CNN, VIT, diffusion, GAN) Good understanding of the mathematical foundations of machine learning Mastering python and related AI software