371 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"O.P"-"U"-"Study-Group" positions in Belgium
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potential vulnerabilities is a strong plus Proficiency in a major programming language (e.g., Python, Java, or C++) Familiarity with cybersecurity tools and methodologies, including vulnerability assessment
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electron microscopy and structural characterization. Prior hands-on experience with transmission electron microscopy is not absolutely required but will be considered a strong asset. Basic programming skills
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of robotics Solid mathematical foundation paired with practical robotics experience Strong programming skills in (at least one of) Python/C++ Familiarity with robotics frameworks like ROS; optimization-based
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or extracellular vesicles. You have excellent English communication skills (both oral and written). You are highly motivated and can plan and conduct research accurately. You can function well independently as
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, microbiology or extracellular vesicles. You have excellent English communication skills (both oral and written). You are highly motivated and can plan and conduct research accurately. You can function well
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live in. Your role The PhD candidate will generate and study complex macroscopic flow patterns of LCE precursors, polymerize the precursors into LCEs programmed by the flow patterns, and study the
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Plan). Have a direct impact on shaping the future of PFx Biotech and launching transformative products that impact the life of millions positively. Are you excited by the opportunity to transform
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programming (Python) and Linux skills is a must Knowledge in plant biology or single-cell genomics is a plus You have good communication skills, are a team player, and are proficient in English We offer a 3
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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin
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from omics data, proficiency with computational programming (e.g. R language/Python), analysis of publicly available cancer genetic expression datasets, and skills in application of statistical