Ali Max Erturk
@erturklab • 90,499 subscribers
CEO of @DeepPiction, director at Helmholtz, LMU Prof. AI-based technologies for health. We’re🇩🇪🇹🇷🇭🇷🇨🇳🇮🇹🇮🇳🇸🇮🇴🇲🇨🇱🇭🇺🇧🇬🇺🇦🇷🇴🇦🇹🇹🇼🏳🌈
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We’re hiring at Deep Piction 🧠🔬 We are looking for a Scientist – Tissue Clearing & Image Analysis (m/f/d) to join our team in Munich. You will help drive tissue-clearing, light-sheet microscopy, and quantitative 3D imaging projects across internal R&D programs and collaborations with biotechnology and pharmaceutical partners. The role combines hands-on experimental work, project ownership, workflow development, and close collaboration with our AI and image-analysis teams. We’re looking for someone with strong experience in tissue clearing, fluorescence microscopy, light-sheet imaging, and large-scale 3D image analysis. Please apply with one single PDF containing your CV and cover letter to: [email protected] Subject: Scientist – Tissue Clearing & Image Analysis (DP-TC-2026-01) Applications will be reviewed on a rolling basis until the position is filled.
Ali Max Erturk10,493 次观看 • 11 天前
🚀 We are hiring! 𝗣𝗵𝗗 𝗦𝘁𝘂𝗱𝗲𝗻𝘁 𝗶𝗻 𝗖𝗔𝗥-𝗧 𝗖𝗲𝗹𝗹𝘂𝗹𝗮𝗿 𝗧𝗵𝗲𝗿𝗮𝗽𝘆 𝗮𝗻𝗱 𝗖𝗮𝗻𝗰𝗲𝗿 𝗡𝗲𝘂𝗿𝗼𝗶𝗺𝗺𝘂𝗻𝗼𝗹𝗼𝗴𝘆 We are looking for a passionate and motivated PhD student to join an exciting project focused on how nerve, immune and cancer cell interactions shape metastatic tumor behavior and resistance to cellular therapies, especially CAR-T cells. The project combines: • Whole-body tissue clearing • Light-sheet microscopy • wildDISCO-based immunolabeling • CAR-T and immune cell tracking in metastatic cancer • Spatial proteomics and 3D spatial biology • AI-based analysis of large-scale imaging datasets This is a great opportunity for someone with a background in cancer biology, immunology, neuroscience, biomedical sciences, biomedical engineering or a related field who wants to work at the interface of experimental biology, advanced imaging and AI. Apply here: Please share with excellent candidates who may be interested. #Hiring #PhDPosition #CARTcells #CellularTherapy #CancerResearch #Neuroimmunology #Immunotherapy #Metastasis #SpatialBiology #AIinBiology #Microscopy #LMUMunich #HelmholtzMunich #ErturkLab
Ali Max Erturk14,750 次观看 • 2 个月前
Tissue clearing of bones + 3D light-sheet imaging combined with high-dimensional spatial profiling reveals how CML rewires the bone marrow microenvironment in region-specific ways, far beyond simple changes in cell counts. Bettina Weigelin and Christian M. Schürch teams. #DISCO #clearing #3Dimaging #lightsheet #bone
Ali Max Erturk22,772 次观看 • 5 个月前
From 3D imaging to therapy Using our DISCO tissue clearing and whole organ 3D imaging platform, we revealed skull to meninges microchannels connecting calvarial bone marrow with the brain borders in mice (Cai...Ertürk, Nature Neuroscience,2018, We then extended this biology to humans, discovering distinct skull bone marrow programs and structural skull meninges connections in health and neurological disease (Kolabas...Ertürk, Cell, 2023). Now, a new study reports a first therapeutic application of this route: intracalvariosseous (calvarial) injection of drug loaded albumin nanoparticles to “hijack” calvarial immune cells, which then migrate via skull meninges microchannels to CNS lesions, bypassing the blood brain barrier and improving outcomes in stroke models, with encouraging clinical feasibility data (Gao et al., Cell, 2026) We are proud that DISCO enabled biology that is now turning into concrete therapeutic strategies for devastating neurological diseases. More to come. #DISCO #TissueClearing #Neuroimmunology #Stroke #Nanomedicine #DrugDelivery #BBB #CNS Refs (for linking in comments): Cai et al. Nat Neuroscience, Kolabas et al. Cell 2023, the video from Gao et al. Cell 2026 (online Jan 16, 2026).
Ali Max Erturk15,895 次观看 • 6 个月前
🚀 We’re hiring! Staff Scientist / Postdoc – Tissue Clearing & 3D Image Analysis (m/f/d) (LMU Munich) Are you a great fit, or do you know someone outstanding, please reach out 🔁 If you want to at the frontier of whole-organ / whole-body 3D imaging, and help generate truly beautiful datasets that drive major biological discoveries and therapeutic development, see below ✨ We’re building the next-generation pipeline for tissue clearing + light-sheet microscopy + quantitative 3D analysis in the SyNergy Excellence Cluster (Mesoscale Hub) and we’re looking for someone excited to push this forward with us. 🧠🔬📈 🎥 I’m also attaching a short video showing the kind of high-quality imaging and datasets you’d be working with. What you’ll do 🛠️ 🔹 Lead and evolve tissue clearing + light-sheet workflows across collaborative SyNergy projects 🔹 Turn complex 3D datasets into robust quantitative insights (visualization, atlas registration, readouts) 🔹 Develop new methods and analysis pipelines together with our AI team 🤖 🔹 Maintain and optimize cutting-edge light-sheet systems (optional: support animal license writing) What we’re looking for 🎯 ✅ Strong hands-on experience in tissue clearing and/or fluorescence microscopy ✅ Solid experience with light-sheet microscopy and 3D imaging workflows ✅ Familiarity with 3D tools like Imaris / arivis Vision4D, stitching (e.g., BigStitcher), and quantitative analysis in cleared tissues ✅ Service mindset, great organization, and strong scientific English How to apply 📩 Apply via the LMU Klinikum online application form Please also send your application to: [email protected] CC: [email protected] 📎 Include one PDF: short cover letter, CV, 2–3 referees, and earliest start date. 📍 Campus Großhadern (Munich) and Helmholtz Munich | 🕒 Full-time | 📅 Start: 01 January 2026 If you love high-quality imaging, cutting-edge biology, and building something that will matter, we’d love to hear from you. 🌍✨ #hiring #StaffScientist #Postdoc #TissueClearing #LightSheetMicroscopy #ImageAnalysis #SpatialBiology #Neuroscience #SyNergy #LMU #Munich
Ali Max Erturk14,751 次观看 • 7 个月前
We are thrilled to see that our recent Nature Biotechnology paper just became the most accessed publication in the journal within only three months (>225K accesses 🤩)—a fantastic achievement reflecting the power of teamwork! This paper has 7 first authors: two computer scientists, two biologists, and three chemists working together. It perfectly illustrates something I’ve learned deeply over the past 10 years leading my group: great science is mostly the synergy of diverse minds and skills. Building a successful team is like assembling Lego bricks—each person complements the others, fits precisely, and collectively forms something much greater than any single piece. Over the years, we’ve made mistakes and learned valuable lessons, particularly in finding team members whose values and work styles align with our team culture. Now, we’re more intentional about ensuring a mutual fit, making the collaboration enjoyable, reciprocal, and highly productive. This paper is a perfect example: by combining high-resolution imaging and AI, our interdisciplinary team enabled unprecedented visualization and therapeutic development at the single-cell level throughout entire organisms. Proud of the team effort behind this impactful research and deeply grateful to each member who made it possible! What are your experiences working in a highly collaborative team vs. better focusing on your own project? The latter is totally fine and works perfectly for many academic labs.
Ali Max Erturk19,678 次观看 • 1 年前
